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[P2P] Final CFP: WMCB 2014 (Workflow Management in Cloud and Big Data), 3-5 Dec 2014, Sydney, Australia
by Mingzhong Wang 10 Sep '14

10 Sep '14

##### We apologize if you receive multiple copies of this CFP. ###### ##### Please feel free to distribute it to those who might be interested. ##### * Due to numerous requests, the deadline has been extended as follows: * Submission deadline: 12 September, 2014 * * Notification: 1 October * ---CALL FOR PAPERS---- ************************************************************************ The 6th International Workshop on Workflow Management in Cloud and Big Data (WMCB 2014) Held in conjunction with The 4th International Conference on Big Data and Cloud Computing (BDCloud 2014) 3 - 5 Dec. 2014, Sydney, Australia Website: http://wmcb2014.sinaapp.com/index.html ************************************************************************ ------------------ Important Dates ------------------ Submissions Deadline: 12 September Notification: 1 October Camera Ready: 15 October Workshop: 3 - 5 Dec. 2014 ------------------ Overview ------------------ Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Cloud computing provides the potential storage and processing capability for big data applications. Between them, workflow technology, which composes and automates business and scientific processing tasks, becomes a bridging and enabling tool to utilize cloud infrastructure for big data management. This workshop aims to provide a forum for researchers, practitioners and developers from different background areas such as cloud computing, service computing, data processing, and workflow area to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about workflow management in cloud computing and big data environments. The workshop solicits high quality research results in all related areas. WMCB 2014 is the next event in a series of highly successful International Workshops, previously held as WMSC 2013 (Karlsruhe, Germany), WMSC 2012 (Xiangtan, China), WMSC 2011 (Sydney, Australia), WMSC 2010 (Hongkong, China), and WMSC 2009 (Chengdu, China). ------------------ Topics of Interest ------------------ The objective of the workshop is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of workflow management in cloud computing and big data processing. The workshop solicits novel papers on a broad range of topics, including but not limited to: * Workflow verification and validation * Novel architectural models for cloud computing in support of workflow execution * Cloud workflow architecture * Cloud resource management * Scientific computing in the cloud * Workflow management for big data processing * Programming models for cloud computing * Access control and authorisation for workflow execution * Workflow scheduling in cloud computing * Utility models and service pricing * Service enabled workflow applications * Privacy, security, risk and trust issues in cloud computing * Social issues in cloud computing * Green cloud computing * Green ICT and smart metering * Cloud workflow applications * Service based workflow modelling * Service Delivery and Composition * Service Level Agreements (SLAs) Negotiation, Automation and Orchestration * Quality of Services for workflow execution * Services Repository and Registry * Service Security, Privacy and Trust for workflow modelling and execution ------------------ Submission Guidelines and Publication ------------------ Please submit your paper(s) in PDF file at the WMCB 2014 submission site: https://www.easychair.org/conferences/?conf=wmcb2014. Papers should be limited up to 8 pages in IEEE format (http://www.computer.org/portal/web/cscps/formatting) All papers will be peer reviewed by two or three pc members. Submitting a paper to the workshop means that if the paper is accepted, at least one author should register to BDCloud 2014 and attend the conference to present the paper. All accepted papers will appear in the proceedings published by IEEE Computer Society (EI indexed). Selected papers will be invited to be published in special issues of * Concurrency and Computation: Practice and Experience * Journal of Network and Computer Applications * Journal of Computer and System Sciences * IEEE Transactions on Cloud Computing. --------------------- Workshop Organization --------------------- General Chairs * Jinjun Chen, University of Technology Sydney, Australia * Jianxun Liu, Hunan University of Science and Technology, China * Rajkumar Buyya, University of Melbourne, Australia Program Chairs * Mingzhong Wang, Beijing Institute of Technology, China * Chunjie Zhou, Ludong University, China Program Committee (to be confirmed) * Danilo Ardagna, Politecnico di Milano, Italy * Shah Asaduzzaman, Carleton University, Canada * Gregor V. Bochmann, University of Ottawa, Canada * Shawn Bowers, University of California at Davis, USA * Christoph Bussler, Analytica, Inc., USA * Massimo Cafaro, University of Salento, Italy * Jian Cao, Shanghai Jiaotong University, China * David Chiu, Washington State University, USA * Wanchun Dou, Nanjing University , China * Schahram Dustdar, Vienna University of Technology, Austria * Yushun Fan, Tsinghua University, China * Geoffrey Fox, Indiana University, USA * Joerg Haehner, University of Augsburg, Germany * Ken Hawick, Massey University, New Zealand * Ching-Hsien (Robert) Hsu, Chung Hua University, Taiwan * Michel Hurfin, INRIA, France * Marta Indulska, The University of Queensland, Australia * Haksung Kim, Dongnam Health University, South Korea * Qing Li, City University of Hong Kong, China * Shiyong Lu, Wayne State University, USA * Xiangfeng Luo, Shanghai University, China * Zongwei Luo, The University of Hong Kong, China * Dan Cristian Marinescu, University of Central Florida, USA * Ethan L. Miller, University of California, USA * Jose A. Montenegro, Universidad de Malaga, Spain * Helen Paik, University of New South Wales, Australia * Sabri Pllana, Linnaeus University, Sweden * Radu Prodan, University of Innsbruck, Austria * Michael Sheng, University of Adelaide, Australia * Wei Tan, IBM Waston Research Center, USA * Jiacun Wang, Monmouth University, USA * Jianmin Wang, Tsinghua University, China * Jianwu Wang, San Diego Supercomputer Center, USA * Martijn Warnier, Delft University of Technology, Netherlands * Lijie Wen, Tsinghua University, China * Lai Xu, Bournemouth University, UK * Yang Yu, Yat-sen University, China --------------------- Contact --------------------- For detailed information please visit the conference webpage * http://wmcb2014.sinaapp.com/index.html or contact the conference organizers * Mingzhong Wang (wangmz(a)bit.edu.cn) * Chunjie Zhou (lucyzcj(a)gmail.com)

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[P2P] FINAL CFP: Special Issue on Enabling Technologies for Collaboration
by Katarzyna Wasielewska 07 Sep '14

07 Sep '14

FINAL CALL FOR PAPERS Scalable Computing: Practice and Experience (www.scpe.org) Special Issue on Enabling Technologies for Collaboration Collaboration is an important aspect in almost all fields of human life, and today the need for supporting collaboration is increased by the fact that we are always connected by means of different kinds of devices. In particular in the enterprise world, this need has emerged and satisfying it can lead to relevant benefits for companies. In the last years, enabling technologies have evolved to meet new and challenging requirements. The aim of this special issue is to provide a landscape of the state of the art, emerging trends, new technologies and best practices in the field of technologies that enable collaboration. The idea is to cover a broad range of fields that are related to collaboration, including both theoretical and applied perspectives. The special issue will feature articles that concern technologies that enable collaboration considering a wide range of aspects, as specified in the following list of topics. TOPICS Areas of interest for this special issue include, but are not limited to: - Adaptive workflows, supply chains, and virtual enterprises - Agent architectures and infrastructures for dynamic collaboration - Agent-to-Human service interactions - Collaboration case studies, tools and applications - Collaboration engineering in cyber-physical systems - Collaborative management of autonomic properties - Collaborative management of NF requirements (quality, security, robustness, availability) - Collaborative management of virtualized cloud resources - Collaborative planning and decision making - Collaborative solutions for the diagnosis and repair of software systems - Collaborative technologies for ensuring autonomic properties - Collaborative technologies for QoS management of SOA and cloud architectures - Collaborative virtual business ecosystems - Cooperative learning and cooperative data mining algorithms - Data Mining techniques for collaborative working - Formal approaches to collaboration - Knowledge management for collaboration - Methodologies and environments for collaborative data mining - Methodologies, languages and tools to support agent collaboration - Modeling and specification of collaborative cloud services - Organizational and enterprise systems that leverage Web 2.0 - Semantic approaches for collaboration - Semantic interoperability for SOA/BPM/SNs - Semantic web for collaboration - Service Oriented Architectures (SOA) for collaboration IMPORTANT DATES - Submission: September 15th, 2014 - Author notification: October 30th 2014 - Revised papers (for major revisions): November 30th 2014 - Author notification (for major revisions): January 15th, 2015 - Camera Ready papers due: February 15th, 2015 - Publication: June, 2015 SUBMISSION DETAILS The special issue seeks original, unpublished work on technologies enabling collaboration. The authors of the best papers form WETICE 2014 will be invited to submit an extended version to this special issue. The SCPE journal has a rigorous peer-review process and papers will be sent to at least two independent referees. Papers that do not merit publication (for any reason) can be rejected by the Special Issue Editors without further review. Submitted papers must be formatted according to the journal's instructions, which can be found at: http://www.scpe.org/index.php/scpe/about/submissions#authorGuidelines SPECIAL ISSUE EDITORS - Prof. Marco Aiello. University of Groningen, NL - Prof. Federico Bergenti. Università di Parma, Italy - Prof. Giacomo Cabri. Università di Modena e Reggio Emilia, Italy - Prof. Sumitra Reddy. West Virginia University, USA - Prof. Ramana Reddy. West Virginia University, USA SCALABLE COMPUTING PRACTICE AND EXPERIENCE The journal focus on algorithm development, implementation and execution on parallel and distributed architectures, as well on application of parallel and distributed computing to the solution of real-life problems. SCPE provides immediate open access to its content. The journal is submitted for indexation in Scopus SciVerse, The Collection of Computer Science Bibliographies, Directory of Open Access Journals (DOAJ), EBSCO, dblp - Computer Science Bibliography, CiteFactor, Index Copernicus, Open Access Library, J-Gate, ZDB, AcademicKeys, BibNet Project at University of Utah, ZENODO, Journal Click. In 2013, the SCPE's SNIP (Scopus Source Normalized Impact per Paper) was 0.619 and SCPE's SJR (Scimago Journal Ranking) was 0.151 (previous year values where: SNIP 0.376 and SJR 0.105). SCPE's SJIF factor was 2.785 in 2012.

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[P2P] Springer PPNA Special Issue on "Large Scale Distributed Cooperative Environments on Clouds and P2P"
by LAURA RICCI 04 Sep '14

04 Sep '14

[Apologies if you receive multiple copies of this message] CALL FOR PAPERS Springer Peer to Peer Networking and Applications Journal (PPNA) Special Issue on Large Scale Distributed Cooperative Environments on Clouds and P2P Submission Deadline: November 1, 2014 http://static.springer.com/sgw/documents/1469905/application/pdf/PPNA_CfP_L… The recent advances in networking have determined an increasing use of information technology to support distributed cooperative applications. Several novel applications have emerged in this area, like computer supported collaborative work (CSCW), large scale distributed virtual worlds, collaborative recommender systems, collaborative learning systems. The definition of these applications requires to afford several challenges, like the definition of user interfaces, of coordination protocols, and of proper middle-ware and architectures supporting distributed cooperation. Collaborative applications may greatly benefits also from the support of P2P and cloud architectures. As a matter of fact, with the emergence of readily available P2P and cloud platforms, collaborative applications developers have the opportunity of deploying their collaborative application by exploiting a hybrid P2P/Cloud architectures with a support dynamically adapting. This brings possibilities to smaller developers that were reserved for the big companies until recently. The integration of mobile/Cloud platforms for Collaborative Applications is another challenge for the widespread of these applications. The purpose of the proposed Special Issue of Peer-to-Peer Networking and Applications is to provide a comprehensive view into recent advances in Distributed Collaborative Environments. Some important challenges are, for instance, collaborative protocols design, latency reduction/ hiding techniques for guaranteeing real time constraints, large-scale processing of user information, privacy and security issues, state consistency/ persistence in distributed data management. Submission are welcomed both of extended version of the papers presented at The Second Workshop on Large Scale Distributed Environments, LSDVE 2014, held in conjunction with paper 2014 and of new original papers. Topics of interest include (but are not limited to) the following - Distributed Collaborative Environments (DCE) - Distributed Computer Supported Collaborative Work - Distributed Recommender Systems - Distributed Collaborative Learning - Distributed Collaborative Games - Distributed Social Applications - P2P Overlays for DCE - P2P information diffusion protocols for DCE - Handling churn in P2P DCE - Consistency/Persistence Issues - Security and Privacy - Integration of P2P/Cloud Platforms for Collaborative Applications - Multi-platform Collaborative Applications Support (phones, tablets, laptop,...) Schedule Manuscript Submission Due: November 1, 2014 First Decision Notification: February 1, 2015 Revision Submission Due: March 15, 2015 Final Decision Notification: April 15, 2015 Guest Editors: Laura Ricci, University of Pisa, Italy, ricci(a)di.unipi.it Radu Prodan, University of Innsbruck, Austria, radu(a)dps.uibk.ac.at Alexandru Iosup, TU Delft, Netherlands, a.iosup(a)tudelft.nl Instructions for submission --------------------------------------------------------------- Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. Springer offers authors, editors and reviewers of Peer-to-Peer Networking and Applications a web-enabled online manuscript submission and review system. The Springer online system offers authors the ability to track the review process of their manuscript. Manuscripts should be submitted to: http://PPNA.edmgr.com under the article type “ Large Scale Distributed Cooperative Environments…” This online system offers easy and straightforward log-in and submission procedures, and supports a wide range of submission file formats. Papers must be written in English and describe original research not published or currently under review by other journals or conferences. All relevant papers submitted will go through an external, rigorous review process. For further information, please contact ricci@di.unipi.it/laura.ricci@di.unipi.it

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[P2P] Final CFP: PriSec 2014 (Privacy and Security in Cloud and Big Data), 3-5 December 2014, Sydney, Australia.
by DEEPAK PUTHAL 03 Sep '14

03 Sep '14

[Apologies if you receive multiple copies of this message] *Call for papers:* Due to requests from many authors, the submission deadline has been extended to 5 September 2014. But this is firm, no more extension. The 3rd International Symposium on Privacy and Security in Cloud and Big Data (PriSec 2014), 3-5 December 2014, Sydney, Australia Website: http://www.swinflow.org/confs/prisec2014/ Important dates: Deadline for Paper Submission: September 5, 2014 *(extended, firm)* Notification of Acceptance: September 25, 2014 Camera Ready Copies: October 15, 2014 Submissions: https://www.easychair.org/conferences/?conf=prisec2014 Publications: All accepted papers will appear in the proceedings published by IEEE Computer Society (EI indexed). Selected papers will be invited to special issues of BdCloud in Concurrency and Computation: Practice and Experience, Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing. ------------ Introduction: Cloud Computing and Big Data are two emerging paradigms in the recent developments of information technology. Cloud Computing enables computing resources to be provided as IT services in a pay-as-you-go fashion with high efficiency and effectiveness. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.With Variety/Volume/Velocity/Value/Veracity/, Big Data such as medical records need to be protected in an scalable and efficient way. Information privacy and security is one of most concerned issues for Cloud Computing due to its open environment with very limited user-side control. It is also an important challenge for Big Data as estimated by IDC. In addition, Cloud Computing and Big Data are coming together in practice. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. As such, there is a strong demand to investigate information privacy and security challenges in both Cloud Computing and Big Data. This symposium aims at providing such forum for researchers, practitioners and developers from different background areas such as distributed computing, cloud computing, big data, database, data mining, information security and privacy protection areas to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about security and privacy issues in cloud and big data environments. The symposium solicits high quality research results in all related areas. This is the third instalment of the symposium, following the successful events of 2013 (Karlsruhe, Germany) and 2012 (Xiangtan, China). Scope and Topics: The objective of this symposium is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of security and privacy in cloud computing environments. The symposium solicits novel papers on a broad range of topics, including but not limited to: Track 1: Privacy and Security in Cloud · Privacy modelling in cloud computing · Privacy correlation between multiple services in cloud computing · Trust based privacy protection in cloud computing · Privacy categorisation in cloud computing · Privacy models for outsourcing · Privacy preserving data publishing on cloud · User privacy, service providers privacy and cloud platform privacy · Privacy requirements engineering on cloud · Private information retrieval on cloud · Privacy and security in personal health records on cloud · Privacy mechanisms in cloud services · Privacy aware scheduling in cloud · Security models, levels and scenarios in cloud computing · Secure identity management in clouds · Secure data management in cloud computing · Secure access to clouds · Remote data integrity protection · Securing distributed data storage in the cloud · Data-centric security and data classification · Cost and usability models related security issues in clouds · Interaction security between usability models in cloud computing · Secure Job deployment and scheduling on cloud · Secure resource allocation and indexing · User authentication and authorisation in cloud services · Auditing in cloud computing · Cloud threat models · Multi-tenancy related security/privacy issues · Security/privacy/trust issues in SaaS/PaaS/IaaS · Secure virtual machine mechanisms in cloud computing · Vulnerabilities in cloud infrastructure · Vulnerabilities in MapReduce · Fault tolerance, exception handling and reliability issues in cloud · Application programming environment Track 2: Privacy and Security in Big Data · Secure quantum communications · Privacy in Big Data applications and services · Privacy in Big Data end-point input validation and filtering · Privacy in Big Data integration and transformation · Privacy in parallel and distributed computation · Privacy in Big Data storage management · Privacy in Big Data access control mechanisms · Privacy in Big Data mining and analytics · Privacy in Big Data sharing and visualization · Big Data privacy policies and standards · Security model and architecture for Big Data · Data mining security for Big Data · Software and system security for Big Data · Cryptography in Big Data · Visualizing large scale security data · Threat detection using Big Data analytics · Human computer interaction challenges for Big Data security · Data protection, integrity standards and policies · Security and legislative impacts for Big Data · Managing user access for Big Data · Scalability and auditing for Big Data Submission Guidelines: Submit your papers in PDF file at the PriSec2014 submission site: https://www.easychair.org/conferences/?conf=prisec2014. Papers should be limited up to 8 pages in IEEE format. Templates can be downloaded here for Word <http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_8.5x11x2.zip> or LATEX <http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_LaTeX_Letter_2Col.zip>. All papers will be peer reviewed by two or three PC members. Submitting a paper to the workshop means that if the paper is accepted, at least one author should register to BdCloud <http://www.swinflow.org/confs/bdcloud2014>2014 <http://www.swinflow.org/confs/bdcloud2014> and attend the conference to present the paper. Publications: All accepted papers will appear in the proceedings published by IEEE Computer Society (EI indexed). Selected papers will be invited to special issues of BdCloud in Concurrency and Computation: Practice and Experience, Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing. General Chairs: Chita R. Das, Pennsylvania State University, USA Vijay Varadharajan, Macquarie University, Australia Program Committee Chairs: Deepak Puthal, University of Technology, Sydney, Australia Chang Liu, University of Technology, Sydney, Australia Rajiv Ranjan, CSIRO, Australia Jinjun Chen, University of Technology, Sydney, Australia Program Committees: Cristina Alcaraz, University of Malaga, Spain Shlomi Dolev, Ben-Gurion University, Israel Yevgeniy Vahlis, University of Toronto Canada Guenther Pernul, University of Regensburg, Germany Charles Morisset, Newcastle University, UK David Naccache, ENS, France Dieter Gollmann, TU Hamburg-Harburg, Germany Yang Xiang, Deakin University, Australia Bibhudatta Sahoo, NIT Rourkela, India Kartik Gopalan, SUNY - Binghamton, USA Joanna Kolodziej, Cracow University of Technology, Poland Yves-Alexandre de Montjoye, MIT, USA Henrik Johnsson, Blekinge Institute of Technology, Sweden Ching-Hsien Hsu, Chung Hua University, Taiwan Biswapratap Singh Sahoo, National Central University, Taiwan Zeeshan Hameed, QMIC, Qatar Roberto Di Pietr, Bell Labs, France Rino Falcone, ISTC-CNR, Italy Stefano Guarino, Università degli Studi Roma Tr, Italy Abhinav Srivastava, AT&T Labs, USA Siani Pearson, HP Labs, UK Changhoon Lee, Seoul National University of Science and Technology, Korea Nour Ali, University of Brighton, UK Wei Wei, Xi'an University of Technology, China Sherman S. M. Chow, Chinese University of Hong Kong Stefano Paraboschi, Università degli Studi di Bergamo, Italy Ramlan Mahmood, University Putra Malaysia

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[P2P] Final CFP: [MR.BDI 2014] The 3rd International Symposium on MapReduce and Big Data Infrastructure, 03-05 December 2014, Sydney, Australia
by Nazanin Borhan 01 Sep '14

01 Sep '14

[We apologize if you receive multiple copies of this CFP.] Call for Papers Due to requests from other authors, the submission deadline has been extended to September 5, 2014. This is firm, no more extension. The 3rd International Symposium on MapReduce and Big Data Infrastructure (MR.BDI 2014) 03-05 December 2014, Sydney, Australia Co-located with the 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014 <http://www.swinflow.org/confs/bdcloud2014/>). Sponsored by Sponsored by IEEE TCSC <http://www.ieeetcsc.org/> Technical Area on Big Data and MapReduce http://www.swinflow.org/confs/mrbdi2014/ Key dates: Deadline for Paper Submission: September 5, 2014 (extended, firm) Notification of Acceptance: September 25, 2014 Camera Ready Copies: October 15, 2014 Registration Due: October 15, 2014 -------------------------------------------------------------------------------------------------------------------------------- The emergence of big data and the potential to undertake complex analysis of very large data sets is, essentially, a consequence of recent advances in the technology that allow this. The development of cloud computing over the last few years represents the single most important contributor to the big data trend, with cloud infrastructure such as compute, storage and analytical tools and apps now widely available. The convergence of big data and cloud computing are having far reaching implications that indeed are changing the world. MapReduce, a widely-adopted parallel and distributed programming paradigm for processing large-scale data sets, becomes much more powerful, scalable, elastic and cost-effective when integrated in cloud systems as it can benefits from the salient characteristics of cloud computing. Based on the MapReduce paradigm and other relevant techniques like HDFS, a series of applications and higher level platforms such as Hadoop, Hive, Twister, Spark, Pregel, to name a few, have been proposed and developed. MapReduce and the emerging tools in cloud are ideal for enterprises with large data centres and scientific communities to address the challenges posed by big data applications. The MapReduce paradigm itself, emerging MapReduce based big data tools and applications, and big data infrastructure such as cloud systems are evolving fast, and therefore need extensive investigations from various research communities. This symposium aims at providing a forum for researchers, practitioners and developers from different background areas such as cloud computing, distributed computing, large-scale data management and database areas to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about MapReduce, MapReduce based platforms and emerging big data infrastructure. The symposium solicits high quality research results in all related areas. This is the third instalment of the symposium, following the successful events of 2013 <http://www.swinflow.org/confs/mrbdi2013/> (Australia) and 2012 <http://www.swinflow.org/confs/bigdatamr2012> (China). ---------------------------------------------------------------------------------------------------------------- Topics: The objective of the symposium is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of MapReduce and big data infrastructure. The symposium solicits novel papers on a broad range of topics, including but not limited to: · Challenges and Opportunities in MapReduce based Big Data Tools and Applications · Recent Development in MapReduce and Big Data Infrastructure · Developing, Debugging and Testing Issues of MapReduce based Big Data Tools · Performance Tuning and Optimization for MapReduce and Big Data Infrastructure · Benchmarking, Evaluation, Simulation for MapReduce based Big Data Tools · Iterative / Recursive MapReduce Systems · Computational Theory for MapReduce based Systems · Extension of the MapReduce Programming Paradigm · Distributed File Systems for MapReduce and Emerging Big Data Tools · Algorithm Analysis and Design with MapReduce Paradigm · Resource Scheduling and SLA of MapReduce for Multiple Users · Heterogeneity and Fault-tolerance in MapReduce based Systems and Big Data Infrastructure · Privacy, Security, Trust and Risk in MapReduce and Big Data Infrastructure · Integration of MapReduce and Emerging Big Data Tools with Cloud / Grid Systems · MapReduce in Hybrid / Fabricated / Federated Cloud Systems · Social Networks Analyses with MapReduce · Data Mining, Analytics, and Visualization using MapReduce · Big Stream / Incremental Data Processing using MapReduce · Big Scientific, Genomic and Healthcare Data Processing with MapReduce · Industrial Experience and Use Cases of MapReduce based Applications · Recent Development Open Source Big Data Infrastructure ------------------------------------------------------------------------------------------------------------------------------ Submission Guidelines: Submit your paper(s) in PDF file at the MR.BDI2014 submission site: https://www.easychair.org/conferences/?conf=mrbdi2014. Papers should be limited up to 8 pages in IEEE CS format. The template files for LATEX <http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_LaTeX_Letter_2Col.zip> or WORD <http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_8.5x11x2.zip>can be downloaded here. All papers will be peer reviewed by two or three pc members. Submitting a paper to the symposium means that if the paper is accepted, at least one author should register to BDCloud 2014 <http://www.swinflow.org/confs/bdcloud2014/> and attend the conference to present the paper. ------------------------------------------------------------------------------------------------------------------------------ Publication of paper: All accepted papers will appear in the proceedings published by IEEE Computer Society (EI indexed). Distinguished papers will be invited to special issues of BDCloud2014 in Concurrency and Computation: Practice and Experience, Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing. ------------------------------------------------------------------------------------------------------------------------------ Important Dates: Deadline for Paper Submission: September 5, 2014 (extended, firm) Notification of Acceptance: September 25, 2014 Camera Ready Copies: October 15, 2014 Registration Due: October 15, 2014 ------------------------------------------------------------------------------------------------------------------------------ General Chairs: Timos Sellis, RMIT University, Australia Yanpei Chen, Cloudera, USA Rajkumar Buyya, University of Melbourne, Australia Jinjun Chen, University of Technology, Sydney, Australia ------------------------------------------------------------------------------------------------------------------------------ Program Committee Chairs: Nazanin Borhan, University of Technology Sydney, Australia Xuyun Zhang, University of Technology Sydney, Australia Suraj Pandey, IBM Australia Research Lab, Australia ------------------------------------------------------------------------------------------------------------------------------ Program Committees: Gunter Saake, University of Magdeburg, Germany Andreas Thor, University of Leipzig, Germany Javid Taheri, University of Sydney, Australia Amund Tveit, Memkite, Norway Soudip Roy Chowdhury, INRIA, Saclay, France Bahman Javadi, University of Western Sydney, Australia Paolo Trunfio, University of Calabria, Italy Chi Yang, University of Technology Sydney, Australia Liana Fong, IBM Research, USA Nikzad Babaii Rizvandi, University of Sydney, Australia Shipin Chen, CSIRO, Australia Roberto Di Pietro, Roma Tre University of Rome, Italy Jun-Ki Min, Korea university of technology, South Korea Ray C.C. Cheung, City University of Hong Kong, Hong Kong Hadi Mashinchi, Simavita, Australia Chao Wang, University of Science and Technology of China, China Hidemoto Nakada, AIST, Japan Boyu Zhang, University of Delaware, USA

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[P2P] CFP: WMCB 2014 (Workflow Management in Cloud and Big Data), 3-5 Dec 2014, Sydney, Australia
by Mingzhong Wang 01 Sep '14

01 Sep '14

##### We apologize if you receive multiple copies of this CFP. ###### ##### Please feel free to distribute it to those who might be interested. ##### ---CALL FOR PAPERS---- ************************************************************************ The 6th International Workshop on Workflow Management in Cloud and Big Data (WMCB 2014) Held in conjunction with The 4th International Conference on Big Data and Cloud Computing (BDCloud 2014) 3 - 5 Dec. 2014, Sydney, Australia Website: http://wmcb2014.sinaapp.com/index.html ************************************************************************ ------------------ Important Dates ------------------ Submissions Deadline: 8 September Notification: 1 October Camera Ready: 15 October Workshop: 3 - 5 Dec. 2014 ------------------ Overview ------------------ Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Cloud computing provides the potential storage and processing capability for big data applications. Between them, workflow technology, which composes and automates business and scientific processing tasks, becomes a bridging and enabling tool to utilize cloud infrastructure for big data management. This workshop aims to provide a forum for researchers, practitioners and developers from different background areas such as cloud computing, service computing, data processing, and workflow area to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about workflow management in cloud computing and big data environments. The workshop solicits high quality research results in all related areas. WMCB 2014 is the next event in a series of highly successful International Workshops, previously held as WMSC 2013 (Karlsruhe, Germany), WMSC 2012 (Xiangtan, China), WMSC 2011 (Sydney, Australia), WMSC 2010 (Hongkong, China), and WMSC 2009 (Chengdu, China). ------------------ Topics of Interest ------------------ The objective of the workshop is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of workflow management in cloud computing and big data processing. The workshop solicits novel papers on a broad range of topics, including but not limited to: * Workflow verification and validation * Novel architectural models for cloud computing in support of workflow execution * Cloud workflow architecture * Cloud resource management * Scientific computing in the cloud * Workflow management for big data processing * Programming models for cloud computing * Access control and authorisation for workflow execution * Workflow scheduling in cloud computing * Utility models and service pricing * Service enabled workflow applications * Privacy, security, risk and trust issues in cloud computing * Social issues in cloud computing * Green cloud computing * Green ICT and smart metering * Cloud workflow applications * Service based workflow modelling * Service Delivery and Composition * Service Level Agreements (SLAs) Negotiation, Automation and Orchestration * Quality of Services for workflow execution * Services Repository and Registry * Service Security, Privacy and Trust for workflow modelling and execution ------------------ Submission Guidelines and Publication ------------------ Please submit your paper(s) in PDF file at the WMCB 2014 submission site: https://www.easychair.org/conferences/?conf=wmcb2014. Papers should be limited up to 8 pages in IEEE format (http://www.computer.org/portal/web/cscps/formatting) All papers will be peer reviewed by two or three pc members. Submitting a paper to the workshop means that if the paper is accepted, at least one author should register to BDCloud 2014 and attend the conference to present the paper. All accepted papers will appear in the proceedings published by IEEE Computer Society. Selected papers will be invited to be published in special issues of * Concurrency and Computation: Practice and Experience * Journal of Network and Computer Applications * Journal of Computer and System Sciences * IEEE Transactions on Cloud Computing. --------------------- Workshop Organization --------------------- General Chairs * Jinjun Chen, University of Technology Sydney, Australia * Jianxun Liu, Hunan University of Science and Technology, China * Rajkumar Buyya, University of Melbourne, Australia Program Chairs * Mingzhong Wang, Beijing Institute of Technology, China * Chunjie Zhou, Ludong University, China Program Committee (to be confirmed) * Danilo Ardagna, Politecnico di Milano, Italy * Shah Asaduzzaman, Carleton University, Canada * Gregor V. Bochmann, University of Ottawa, Canada * Shawn Bowers, University of California at Davis, USA * Christoph Bussler, Analytica, Inc., USA * Massimo Cafaro, University of Salento, Italy * Jian Cao, Shanghai Jiaotong University, China * David Chiu, Washington State University, USA * Wanchun Dou, Nanjing University , China * Schahram Dustdar, Vienna University of Technology, Austria * Yushun Fan, Tsinghua University, China * Geoffrey Fox, Indiana University, USA * Joerg Haehner, University of Augsburg, Germany * Ken Hawick, Massey University, New Zealand * Ching-Hsien (Robert) Hsu, Chung Hua University, Taiwan * Michel Hurfin, INRIA, France * Marta Indulska, The University of Queensland, Australia * Haksung Kim, Dongnam Health University, South Korea * Qing Li, City University of Hong Kong, China * Shiyong Lu, Wayne State University, USA * Xiangfeng Luo, Shanghai University, China * Zongwei Luo, The University of Hong Kong, China * Dan Cristian Marinescu, University of Central Florida, USA * Ethan L. Miller, University of California, USA * Jose A. Montenegro, Universidad de Malaga, Spain * Helen Paik, University of New South Wales, Australia * Sabri Pllana, Linnaeus University, Sweden * Radu Prodan, University of Innsbruck, Austria * Michael Sheng, University of Adelaide, Australia * Wei Tan, IBM Waston Research Center, USA * Jiacun Wang, Monmouth University, USA * Jianmin Wang, Tsinghua University, China * Jianwu Wang, San Diego Supercomputer Center, USA * Martijn Warnier, Delft University of Technology, Netherlands * Lijie Wen, Tsinghua University, China * Lai Xu, Bournemouth University, UK * Yang Yu, Yat-sen University, China --------------------- Contact --------------------- For detailed information please visit the conference webpage * http://wmcb2014.sinaapp.com/index.html or contact the conference organizers * Mingzhong Wang (wangmz(a)bit.edu.cn) * Chunjie Zhou (lucyzcj(a)gmail.com)

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[P2P] Call for Demo and Poster - BDCloud2014 (Big Data and Cloud Computing), 3-5 Dec. 2014, Sydney, Australia
by Chang Liu 31 Aug '14

31 Aug '14

Call for Poster and Demo: The 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), 3-5 December 2014, Sydney, Australia. Website: http://www.swinflow.org/confs/bdcloud2014/demo.htm <http://www.swinflow.org/confs/bdds2013/demo.htm> Important Dates: Deadline for proceedings published posters/demos with display at conference: 5 October 2014 Notification of Acceptance: 7 October 2014 Final versions of proceeding published posters/demos: 15 October 2014 Deadline for web published posters/demos with display at conference: 30 October 2014 Submissions: Please email your posters/demos to confs.aus(a)gmail.com with the email subject as "BDCloud 2014 demo poster submission". Two types of posters and demos are welcome. Both of them will be displayed during the conference. 1. Proceedings published posters and demos: Submission is a 2-page short paper describing the post/demo content, research, relevance and importance to Big Data and Cloud Computing community. If accepted, the 2-page short paper will be published in the main conference proceedings. 2. Web published posters and demos: Submission is a 1-page extended abstract. Such posters/demos will not be included in the conference proceedings, but will be published on the conference website. --------------- Participants are invited to submit posters and research demos to BDCloud2014. BDCloud2014 (Big Data and Cloud Computing) is created to provide a prime international forum for both researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Big Data and Cloud Computing as well as joint-venture and synergic research and development across various related areas. Topics of interest for posters and demos include, but not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Chairs: Nazanin Borhan, University of Technology Sydney, Australia Rajiv Ranjan, CSIRO, Australia

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[P2P] CFP: PriSec 2014 (Privacy and Security in Cloud and Big Data), 3-5 December 2014, Sydney, Australia.
by DEEPAK PUTHAL 31 Aug '14

31 Aug '14

[Apologies if you receive multiple copies of this message] *Call for papers:* Due to requests from many authors, the submission deadline has been extended to 5 September 2014. But this is firm, no more extension. The 3rd International Symposium on Privacy and Security in Cloud and Big Data (PriSec 2014), 3-5 December 2014, Sydney, Australia Website: http://www.swinflow.org/confs/prisec2014/ Important dates: Deadline for Paper Submission: September 5, 2014 *(extended, firm)* Notification of Acceptance: September 25, 2014 Camera Ready Copies: October 15, 2014 Submissions: https://www.easychair.org/conferences/?conf=prisec2014 Publications: All accepted papers will appear in the proceedings published by IEEE Computer Society (EI indexed). Selected papers will be invited to special issues of BdCloud in Concurrency and Computation: Practice and Experience, Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing. ------------ Introduction: Cloud Computing and Big Data are two emerging paradigms in the recent developments of information technology. Cloud Computing enables computing resources to be provided as IT services in a pay-as-you-go fashion with high efficiency and effectiveness. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.With Variety/Volume/Velocity/Value/Veracity/, Big Data such as medical records need to be protected in an scalable and efficient way. Information privacy and security is one of most concerned issues for Cloud Computing due to its open environment with very limited user-side control. It is also an important challenge for Big Data as estimated by IDC. In addition, Cloud Computing and Big Data are coming together in practice. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. As such, there is a strong demand to investigate information privacy and security challenges in both Cloud Computing and Big Data. This symposium aims at providing such forum for researchers, practitioners and developers from different background areas such as distributed computing, cloud computing, big data, database, data mining, information security and privacy protection areas to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about security and privacy issues in cloud and big data environments. The symposium solicits high quality research results in all related areas. This is the third instalment of the symposium, following the successful events of 2013 (Karlsruhe, Germany) and 2012 (Xiangtan, China). Scope and Topics: The objective of this symposium is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of security and privacy in cloud computing environments. The symposium solicits novel papers on a broad range of topics, including but not limited to: Track 1: Privacy and Security in Cloud · Privacy modelling in cloud computing · Privacy correlation between multiple services in cloud computing · Trust based privacy protection in cloud computing · Privacy categorisation in cloud computing · Privacy models for outsourcing · Privacy preserving data publishing on cloud · User privacy, service providers privacy and cloud platform privacy · Privacy requirements engineering on cloud · Private information retrieval on cloud · Privacy and security in personal health records on cloud · Privacy mechanisms in cloud services · Privacy aware scheduling in cloud · Security models, levels and scenarios in cloud computing · Secure identity management in clouds · Secure data management in cloud computing · Secure access to clouds · Remote data integrity protection · Securing distributed data storage in the cloud · Data-centric security and data classification · Cost and usability models related security issues in clouds · Interaction security between usability models in cloud computing · Secure Job deployment and scheduling on cloud · Secure resource allocation and indexing · User authentication and authorisation in cloud services · Auditing in cloud computing · Cloud threat models · Multi-tenancy related security/privacy issues · Security/privacy/trust issues in SaaS/PaaS/IaaS · Secure virtual machine mechanisms in cloud computing · Vulnerabilities in cloud infrastructure · Vulnerabilities in MapReduce · Fault tolerance, exception handling and reliability issues in cloud · Application programming environment Track 2: Privacy and Security in Big Data · Secure quantum communications · Privacy in Big Data applications and services · Privacy in Big Data end-point input validation and filtering · Privacy in Big Data integration and transformation · Privacy in parallel and distributed computation · Privacy in Big Data storage management · Privacy in Big Data access control mechanisms · Privacy in Big Data mining and analytics · Privacy in Big Data sharing and visualization · Big Data privacy policies and standards · Security model and architecture for Big Data · Data mining security for Big Data · Software and system security for Big Data · Cryptography in Big Data · Visualizing large scale security data · Threat detection using Big Data analytics · Human computer interaction challenges for Big Data security · Data protection, integrity standards and policies · Security and legislative impacts for Big Data · Managing user access for Big Data · Scalability and auditing for Big Data Submission Guidelines: Submit your papers in PDF file at the PriSec2014 submission site: https://www.easychair.org/conferences/?conf=prisec2014. Papers should be limited up to 8 pages in IEEE format. Templates can be downloaded here for Word <http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_8.5x11x2.zip> or LATEX <http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_LaTeX_Letter_2Col.zip>. All papers will be peer reviewed by two or three PC members. Submitting a paper to the workshop means that if the paper is accepted, at least one author should register to BdCloud <http://www.swinflow.org/confs/bdcloud2014>2014 <http://www.swinflow.org/confs/bdcloud2014> and attend the conference to present the paper. Publications: All accepted papers will appear in the proceedings published by IEEE Computer Society (EI indexed). Selected papers will be invited to special issues of BdCloud in Concurrency and Computation: Practice and Experience, Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing. General Chairs: Chita R. Das, Pennsylvania State University, USA Vijay Varadharajan, Macquarie University, Australia Program Committee Chairs: Deepak Puthal, University of Technology, Sydney, Australia Chang Liu, University of Technology, Sydney, Australia Rajiv Ranjan, CSIRO, Australia Jinjun Chen, University of Technology, Sydney, Australia Program Committees: Cristina Alcaraz, University of Malaga, Spain Shlomi Dolev, Ben-Gurion University, Israel Yevgeniy Vahlis, University of Toronto Canada Guenther Pernul, University of Regensburg, Germany Charles Morisset, Newcastle University, UK David Naccache, ENS, France Dieter Gollmann, TU Hamburg-Harburg, Germany Yang Xiang, Deakin University, Australia Bibhudatta Sahoo, NIT Rourkela, India Kartik Gopalan, SUNY - Binghamton, USA Joanna Kolodziej, Cracow University of Technology, Poland Yves-Alexandre de Montjoye, MIT, USA Henrik Johnsson, Blekinge Institute of Technology, Sweden Ching-Hsien Hsu, Chung Hua University, Taiwan Biswapratap Singh Sahoo, National Central University, Taiwan Zeeshan Hameed, QMIC, Qatar Roberto Di Pietr, Bell Labs, France Rino Falcone, ISTC-CNR, Italy Stefano Guarino, Università degli Studi Roma Tr, Italy Abhinav Srivastava, AT&T Labs, USA Siani Pearson, HP Labs, UK Changhoon Lee, Seoul National University of Science and Technology, Korea Nour Ali, University of Brighton, UK Wei Wei, Xi'an University of Technology, China Sherman S. M. Chow, Chinese University of Hong Kong Stefano Paraboschi, Università degli Studi di Bergamo, Italy Ramlan Mahmood, University Putra Malaysia

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[P2P] Final CFP: IEEE BDCloud 2014 (Big Data and Cloud Computing), 3-5 Dec 2014, Sydney, Australia
by Nazanin Borhan 27 Aug '14

27 Aug '14

Call for papers: Due to requests from other authors, the submission deadline has been extended to August 30, 2014. This is firm, no more extension. The 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), 3-5 Dec. 2014, Sydney, Australia. Website: http://www.swinflow.org/confs/bdcloud2014/ Key dates: Submission Deadline: August 30, 2014 (extended, firm) Notification: September 25, 2014 Final Manuscript Due: October 15, 2014 Submission site: http://www.swinflow.org/confs/bdcloud2014/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguised papers will be selected for special issues in Concurrency and Computation: Practice and Experience; Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing. =========== Introduction Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy. Scope and Topics Topics of particular interest include, but are not limited to: ¡¤ Fundamentals of cloud computing ¡¤ Architectural cloud models ¡¤ Programming cloud models ¡¤ Provisioning/pricing cloud models ¡¤ Data storage and computation in cloud computing ¡¤ Resource and large-scale job scheduling in cloud computing ¡¤ Security, privacy, trust, risk in cloud and big data ¡¤ Fault tolerance and reliability in cloud computing ¡¤ Access control to cloud computing ¡¤ Resource virtualisation ¡¤ Monitoring and auditing in cloud ¡¤ Scalable and elastic cloud services ¡¤ Social computing and impacts on the cloud ¡¤ Innovative HCI and touch-screen models and technologies to cloud ¡¤ Mobile commerce, handheld commerce and e-markets on cloud ¡¤ Intelligent/agent-based cloud computing ¡¤ Migration of business applications to cloud ¡¤ Energy efficient cloud architecture ¡¤ Energy aware data storage and computation in cloud computing ¡¤ Energy aware scheduling, monitoring, auditing in cloud ¡¤ Green Cloud ¡¤ Cloud use case studies ¡¤ Big Data theory, applications and challenges ¡¤ Big Data mining and analytics on Cloud ¡¤ Big Data Infrastructure, MapReduce and Cloud Computing ¡¤ Big Data visualization ¡¤ Large data stream, incremental datasets on cloud ¡¤ Distributed and federated datasets ¡¤ NoSQL data stores and DB scalability ¡¤ Big Data sharing, security, privacy and trust ¡¤ Big Data placement, scheduling, and optimization ¡¤ Distributed file systems for Big Data ¡¤ Big Data processing, resource scheduling and SLA on Cloud ¡¤ Performance characterization, evaluation and optimization ¡¤ Simulation and debugging of Big Data systems ¡¤ Volume, Velocity, Variety, Value and Veracity of Big Data ¡¤ Storage and computation management of Big Data ¡¤ Large-scale workflow management in Big Data ¡¤ Data management and distributed data systems ¡¤ Big data applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/bdcloud2014/submission.htm. Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers presented at the conference, after further revision, will be published in special issues of Concurrency and Computation: Practice and Experience; Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing. Honorary Chairs Ramamohanarao Kotagiri, The University of Melbourne, Australia Albert Zomaya, University of Sydney, Australia Xiaofang Zhou, University of Queensland, Australia General Chairs Xindong Wu, University of Vermont, USA Hai Jin, Huazhong University of Science and Technology, China Manish Parashar, Rutgers University, USA Laurence T. Yang, St Francis Xavier University, Canada General Co-Chairs Zahir Tari, RMIT University, Australia Rajkumar Buyya, University of Melbourne, Australia Muhammad Ali Babar, University of Adelaide, Australia Program Chairs Jinjun Chen, University of Technology Sydney, Australia Young Choon Lee, University of Sydney, Australia Michela Taufer, University of Delaware, USA Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Program Vice Chairs Samee U. Khan, North Dakota State University, USA Tao Gu, RMIT, Australia Lizhe Wang, Chinese Academy of Sciences, China Workshops Chairs Shui Yu, Deakin University, Australia (shui.yu(a)deakin.edu.au) Massimo Cafaro, University of Salento, Lecce, Italy (massimo.cafaro(a)unile.it ) Rafael Tolosana, University of Zaragoza, Spain (rafaelt.unizar(a)gmail.com) Steering Committee Rajkumar Buyya, The University of Melbourne, Australia Shuguang (Robert) Cui, Texas A&M University, USA Jinjun Chen, University of Technology, Sydney, Australia (Chair) Jack Dongarra, University of Tennessee, USA Schahram Dustdar, Vienna University of Technology, Austria Mahmoud Daneshmand, Stevens Institute of Technology, USA Yves Robert, ENS Lyon, Institut Universitaire de France, France Geoffrey Fox, Indiana University, USA Andrzej Goscinski, Deakin University, Australia Hai Jin, Huazhong University of Science and Technology, China Anthony D. Joseph, UC Berkeley, USA Manish Parashar, Rutgers University, USA Ivan Stojmenovic, University of Ottawa, Canada Albert Zomaya, University of Sydney, Australia Laurence T. Yang, St Francis Xavier University, Canada (Chair) Local Organization Chair Nazanin Borhan, University of Technology Sydney, Australia Finance Chair Jinjun Chen, University of Technology Sydney, Australia Web Chair Xuyun Zhang, University of Technology Sydney, Australia

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[P2P] CFP: IEEE TETC SI on "Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds"
by DEEPAK PUTHAL 24 Aug '14

24 Aug '14

[Apologies if you receive multiple copies of this message] *Call for papers:* IEEE Transactions on Emerging Topics in Computing Special Issue on "Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds" IMPORTANT DATES ***************************** Submission Deadline: June 1 2015 Reviews Completed: September 1 2015 Major Revisions Due (if Needed): October 1 2015 Reviews of Revisions Completed (if Needed): November 1 2015 Minor Revisions Due (if Needed): December 1 2015 Notification of Final Acceptance: February 1 2016 Publication Materials for Final Manuscripts Due: March 1 2016 Publication date: Second Issue 2016 (June Issue) DETAILS ABOUT THE ISSUE ***************************** Internet of Things (IoT) is an emerging paradigm that has gained a significant interest from both academia and industry. IoT is a part of Future Internet and comprises many billions of Internet connected Objects (ICOs) or 'things' where things can sense, communicate, compute and potentially actuate as well as have intelligence, multi-modal interfaces, physical/ virtual identities and attributes. ICOs can include sensors, RFIDs, social media, actuators (such as machines/equipments fitted with sensors and deployed for mining, oil exploration, and manufacturing operations) as well as lab instruments (e.g., high energy physics synchrotron), and smart consumer appliances (smart TV, smart phone, etc.). This IoT vision has recently given rise to the notion of IoT big data applications that are capable of producing billions of data stream and tens of years of historical data to provide the knowledge required to support timely decision making. Some of the emerging IoT big data applications, e.g. smart energy grids, syndromic bio-surveillance, environmental monitoring, emergency situation awareness, digital agriculture, and smart manufacturing, need to process and manage massive, streaming, and multi-dimensional (from multiple sources) data from geographically distributed data sources. Despite recent technological advances of the data-intensive computing paradigms (e.g. the MapReduce paradigm, workflow technologies, stream processing engines, distributed machine learning frameworks) and datacentre clouds, large-scale reliable system-level software for IoT big data applications are yet to become commonplace. As new diverse IoT applications begin to emerge, there is a need for optimized techniques to distribute processing of the streaming data produced by such applications across multiple datacentres that combine multiple, independent, and geographically distributed software and hardware resources. However, the capability of existing data-intensive computing paradigms is limited in many important aspects such as: (i) they can only process data on compute and storage resources within a centralised local area network, e.g., a single cluster within a datacentre. This leads to unsatisfied Quality of Service (QoS) in terms of timeliness of decision making, resource availability, data availability, etc. as application demands increase; (ii) they do not provide mechanisms to seamlessly integrate data spread across multiple distributed heterogeneous data sources (ICOs); (iii) lack support for rapid formulation of intuitive queries over streaming data based on general purpose concepts, vocabularies and data discovery; and (iv) they do not provide any decision making support for selecting optimal data mining and machine algorithms, data application programming frameworks, and NoSQL database systems based on nature of the big data (volume, variety, and velocity). Furthermore, adoption of existing datacentre cloud platform for hosting IoT applications is yet to be realised due to lack of techniques and software frameworks that can guarantee QoS under uncertain big data application behaviours (data arrival rate, number of data sources, decision making urgency, etc.), unpredictable datacentre resource conditions (failures, availability, malfunction, etc.) and capacity demands (bandwidth, memory, storage, and CPU cycles). It is clear that existing data intensive computing paradigms and related datacentre cloud resource provisioning techniques fall short of the IoT big data challenge or do not exist. Topics of interest include, but are not limited to: - Programming abstractions for extedmding existing data intensive computing paradigms to multiple datacentres - Technical foundations for selection of data mining and machine learning algorithms Streaming data query and indexing systems based on semantic web concepts - IoT big data application specific ontology models for capturing heterogeneous data from multiple sources - Decentralised data flow optimisation and management techniques across multiple datacentres - Techniques for petabyte efficient no-SQL query-based IoT big data processing - QoS optimized parallel data analytic techniques beyond traditional relational database systems - Knowledge driven, predictive datacentre resource allocation and provisioning for streaming data - Innovative IoT big data application use cases - Techniques for providing a secure end-to-end connection between users and data sources - SUBMISSION GUIDELINES ***************************** Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computer Society web site, www.computer.org. TETC is the newest Transactions of the IEEE Computer Society with Open Access only. Please submit your paper to Manuscript Central at https://mc.manuscriptcentral.com/tetc-cs. Please address all other correspondence regarding this special Section to Lead Guest Editor *Dr. Rajiv Ranjan* GUEST EDITORS ***************************** *Dr. Rajiv Ranjan - Corresponding Guest Editor * Senior Research Scientist & Julius Fellow, CSIRO Computational Informatics, Australia Email: raj.ranjan(a)csiro.au *Prof. Lizhe Wang * Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Email:Lizhe.wang@gmail.com *Dr. Jie Tao * Steinbuch Centre for Computing (SCC) Karlsruhe Institute of Technology Email: jie.tao(a)kit.edu *Prof. Albert Zomaya * Australian Research Council Professorial Fellow The University of Sydney, NSW 2006, Australia Email: albert.zomaya(a)sydney.edu.au *Dr. Prem Prakash Jayaraman * Postdoctoral Research Scientist CSIRO Computational Informatics, Australia Email: prem.jararaman(a)csiro.au *Prof. Dimitrios Georgakopoulos * CSIRO Computational Informatics Email: dimitrios.georgakopoulos(a)csiro.au

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