July 2014 - ogsa-wg - lists.ogf.org

CFP: IEEE SustainCom 2014 (Sustainable Computing and Communications), 3-5 Dec 2014, Sydney, Australia
by DEEPAK PUTHAL 09 Jul '14

09 Jul '14

[Apologies if you receive multiple copies of this message] Call for papers: The 4th IEEE International Conference on Sustainable Computing and Communications (SustainCom 2014), 3-5 Dec. 2014, Sydney, Australia. Website: http://www.swinflow.org/confs/susc2014/ Key dates: Submission Deadline: July 20, 2014 Notification: September 25, 2014 Final Manuscript Due: October 15, 2014 Submission site: http://www.swinflow.org/confs/susc2014/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 Sustainable Computing and Communications refers to principles that embrace a range of policies, procedures, programs, and attitudes that run the length and breadth of any use of information and communication technologies. It is a holistic approach that stretches from power to waste to purchasing to education and is a life-cycle management approach to the deployment of IT across an organization. It includes designing, manufacturing, using, and disposing of information and communication systems with minimal or no impact on the environment. SustainCom (Sustainable Computing and Communications) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest fundamental advances in the state of the art and practice of Sustainable Computing and Communications as well as innovative applications. Scope and Topics Topics of particular interest include, but are not limited to: Track 1: Sustainable Computing and Communications ¡¤ Theoretical Aspect of Energy, Power, and Temperature ¡¤ Algorithms for Reduced Power, Energy and Heat ¡¤ Power-aware Design of Software, Middleware and Systems ¡¤ Power-aware Networking ¡¤ Real-time systems ¡¤ Power-efficient Computing Architectures ¡¤ Efficient Circuit Design for Energy Harvesting ¡¤ Power Management in Memory, Disk, Storage and other peripheral Devices ¡¤ Configurable and Renewable Energy ¡¤ Low Power Electronics ¡¤ Energy Efficient Network Hardware ¡¤ Energy-Efficient Communication Protocols ¡¤ Low power Communication Technologies ¡¤ Embedded Systems, ASICs and FPGSs ¡¤ Power Leakage and Dissipation ¡¤ Code Profiling and Transformation for Power Management ¡¤ Power-aware Scheduling and Resource Allocation ¡¤ Energy-efficient Wireless/Mobile/Sensor Systems and Networks ¡¤ Security and Privacy ¡¤ Wearable Computing ¡¤ Ecological Monitoring, Analytics and Visualization ¡¤ Green Communications Architectures and Frameworks ¡¤ Green Data Centres and Enterprise Computing ¡¤ QoS and Green Computing ¡¤ Integration of Smart Appliances ¡¤ Green Software Engineering Methodologies and Tools ¡¤ Virtualiztion Impact for Green Computing ¡¤ Case Studies on Green Computing and Communications ¡¤ Green Computing Models, Methodologies and Paradigms Track 2: Sustainable Systems and Technologies ¡¤ Sustainable Architectures for Smart Grids ¡¤ Smart Grid Security, Reliability and Load Balancing ¡¤ Energy Management Systems (EMS) ¡¤ Economic Models of Energy Efficiency ¡¤ Energy Monitoring, Profiling and Measurement ¡¤ Renewable Energy Systems and Harvesting Energy (e.g. Solar, Wind) ¡¤ Greener Systems Planning and Design ¡¤ Virtualization for Reducing Power Consumption ¡¤ Evolutionary Algorithms in Energy Applications ¡¤ Scheduling and Switching Power Supplies ¡¤ Optimization Techniques for Efficient Energy Consumption ¡¤ Reliability of Power-aware Computers ¡¤ Runtime Systems that Assist in Power Saving ¡¤ Models for Collective Optimization of Power and Performance ¡¤ Monitoring Tools for Power and Performance of Parallel and Distributed Systems ¡¤ Use of Sensors for Environmental Monitoring ¡¤ Smart control for Eco-friendly Buildings Track 3: Sustainable Methodologies and Applications ¡¤ Smart City (Sustainable Design, Models, Frameworks, Policies and Strategies) ¡¤ Smart City (Sustainable Integration and Optimization of Comprehensive Resources and Information Flows - energy, emissions, people, goods and services) ¡¤ Sustainable Energy Generation, Transmission, Distribution and Delivery ¡¤ Smart Buildings and Urban Infrastructures ¡¤ Smart Grid for Energy Generation, Transmission, Monitoring and Management ¡¤ Open Government, Open Data Policies, Urban-Scale Data Sharing, Information Security and Privacy ¡¤ Smart Logistics and Sustainable Supply Chain Management ¡¤ Smart People, Smart Living and Smart Citizen Engagement ¡¤ Intelligent Transport Systems and Traffic Management ¡¤ Smart Energy-efficient Sensor Networks and Internet of Things ¡¤ Smart Home, Smart Healthcare and Ageing Population support ¡¤ e-Mobility, e-Work and e-Business Applications ¡¤ Sustainable Urban Mobility and Smart Vehicle Management ¡¤ Smart Resource Support and Demand Management and Optimization ¡¤ User-Centred Services and Systems ¡¤ Open Big City Data, Cloud Computing, Internet-Enabled Infrastructures and Services for Sustainability ¡¤ Innovation Labs, Experimental Test-Beds and Simulation Environments ¡¤ Mechanisms for Motivating Behavior Change ¡¤ Advanced Data Analytics for Smart Cities ¡¤ IS Architecture Design and Platform for Sustainability ¡¤ Case Studies and Innovative Applications for Sustainability 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. 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. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/susc2014/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. General Chairs Ishfaq Ahmad, The University of Texas at Arlington, USA Mohammad S. Obaidat, Monmouth University, USA M (Palani) Palaniswami, University of Melbourne, Australia Program Chairs Chadi Aoun, University of Technology, Sydney, Australia Anirban Mahanti, NICTA, Australia Danilo Ardagna, Politecnico di Milano, Italy Program Vice-Chairs Dongrui Fan, Chinese Academy of Sciences (CAS), China Hussein Dia, Swinburne University of Technology, Australia Xin Zhu, University of Aizu, Japan Workshop Chairs Mianxiong Dong, National Institute of Information and Communications Technology (NICT), Japan Wei Zheng, Xiamen University, China Steering Committee Jinjun Chen, University of Technology, Sydney, Australia (Chair) Fernando Las Heras, EPI, Spain Bor Yann Liaw, University of Hawaii at Manoa, USA Jean-Marc Pierson, IRIT, Universit¨¦ Paul Sabatier, France Sandeep Gupta, Arizona State University, Tempe, USA Dakai Zhu, University of Texas at San Antonio, San Antonio, Texas, USA Albert Zomaya, University of Sydney, Australia Mohammad S. Obaidat, Monmouth University, USA M (Palani) Palaniswami, University of Melbourne, Australia Laurent Lefevre, Inria, LIP Lab., ENS Lyon, University of Lyon, France Jianhua Ma, Hosei University, Japan Laurence T. Yang, St Francis Xavier University, Canada (Chair) Local Organization Chair Nazanin Borhan, University of Technology Sydney, Australia Finance Chair Chang Liu, University of Technology, Sydney, Australia Conference Secretary and Web Chair Xuyun Zhang, Swinburne University of Technology, Australia

1 0

CFP: [MR.BDI 2014] The 3rd International Symposium on MapReduce and Big Data Infrastructure, 03-05 December 2014, Sydney, Australia
by Nazanin Borhan 09 Jul '14

09 Jul '14

[We apologize if you receive multiple copies of this CFP.] Call for Papers – Deadline July 30, 2014 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/ -------------------------------------------------------------------------------------------------------------------------------- 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: July 30, 2014 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

1 0

CFP: IEEE Cloud Computing Magazine SI on "Cloud-based Smart Evacuation Systems for Emergency Management"
by DEEPAK PUTHAL 08 Jul '14

08 Jul '14

[Apologies if you receive multiple copies of this message] *Call for papers:* IEEE Cloud Computing Magazine Special Issue on "Cloud-based Smart Evacuation Systems for Emergency Management" IMPORTANT DATES ***************************** Submissions Due: August 20, 2014 DETAILS ABOUT THE ISSUE ***************************** Natural and man-made emergencies, such as tsunamis, earthquakes, floods, and epidemics pose a significant threat to human societies. The lessons learned from the growing number of recent emergencies, such as Japan's earthquake (2011), Katrina hurricane (2005), Colorado flood (2013), Queensland flooding in Australia (2010), Haiti earthquake (2010), has put impetus on the development of emergency evacuation planning systems. Well-coordinated emergency management activities that involves guiding of citizens out of danger areas, placement of medical team to the most appropriate locations, and real-time planning of evacuation routes before and after a disaster play a significant role in saving lives, protecting critical infrastructures, and minimizing causalities. For example, due to lack of proper evacuation planning system, 25 people lost their lives in the first 30 minutes while attempting to flee their Oakland Hills neighborhood in California during a wildfire in 1991. The management of evacuation activities such as guiding people out of dangerous areas and coordinating rescue teams is dependent on the availability of historical data as well as on the effective real-time integration and utilisation of data streaming from multiple sources including on-site sensors, social media feeds and messaging on mobile devices (i.e. text messaging, location, etc.). However, there is a pitfall; the growing ubiquity of on-site sensors, social media and mobile devices means there are more sources of outbound traffic, which ultimately results in the creation of a tsunami of data, beginning shortly after the onset of emergency events. This data tsunami phenomenon is being described as a new grand challenge in computing: The 'Big Data' problem. Over 20 million tweets posted during Hurricane Sandy (2012) lead to an instance of the Big Data problem. During the 2010 Haiti earthquake, text messaging via mobile phones and Twitter made headlines as being crucial for disaster response, but only some 100,000 messages were actually processed by government agencies due to lack of automated and scalable data processing infrastructure. Design and development of evacuation systems for emergency management requires a complete ICT (Information and Communication Technology) paradigm shift in a way that systems do not get overwhelmed by incoming data volume, data rate, data sources, and data types. New cloud-based techniques are needed that can extract meaningful information from large-scaled data in real-time, while avoiding unnecessary data transmission or storage. Future initiative should focus on developing cloud-based techniques to improve the performance of multiple data stream processing system while balancing computational complexity and Quality of Service (e.g., decision making delay, alert generation delay, etc.). *We solicit papers and columns from both industrial and academic research communities.* SUBMISSION GUIDELINES ***************************** Submissions will be subject to the IEEE Cloud Computing Magazines' peer-review process. Articles should be at most 6,000 words, with a maximum of 15 references, and should be understandable to a broad audience of people interested in cloud computing, big data and related application areas. ¬ The writing style should be down to earth, practical, and original. Authors should not assume that the audience will have specialized experience in a particular sub field. All accepted articles will be edited according to the IEEE Computer Society style guide. Submit your papers to Manuscript Central at https://mc.manuscriptcentral.com/cs-cc. If any questions please contact the guest editors. GUEST EDITORS ***************************** Dr. Rajiv Ranjan, CSIRO, Australia raj.ranjan(a)csiro.au Dr. Samee Khan, NDSU, USA samee.khan(a)ndsu.edu Prof. Joanna Kolodziej, CUT, Poland joanna.kolodziej68(a)gmail.com Prof. Albert Zomaya, Sydney University, Australia zomaya(a)it.usyd.edu.au

1 0

CFP: Special Issue on Enabling Technologies for Collaboration
by Katarzyna Wasielewska 05 Jul '14

05 Jul '14

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

1 0

Call for papers: The 7th IEEE SocialCom 2014 (Social Computing and Networking), Dec. 2014, Sydney Australia
by Arne Wilston 05 Jul '14

05 Jul '14

Call for papers: The 7th IEEE International Conference on Social Computing and Networking (SocialCom 2014), 3-5 Dec. 2014, Sydney, Australia. Website: http://www.swinflow.org/confs/socialcom2014/ Key dates: Submission Deadline: July 25, 2014 Notification: September 25, 2014 Final Manuscript Due: October 15, 2014 Submission site: http://www.swinflow.org/confs/socialcom2014/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 Social computing and networking is concerned with the intersection of social behaviour and computing systems, creating or recreating social conventions and contexts through the use of software and technology. Various social computing applications such as blogs, email, instant messaging, social networking (Facebook, Twitter, LinkedIn, Google+ etc.), wikis, and social bookmarking have been widely popularised by providing digital platforms for social interaction. Such applications have been profoundly change social behaviours and digital life styles of humankind whilst pushing the boundaries of Internet technologies. While people can enjoy or even indulge in the benefits such as freedom and convenience brought about by social computing, various critical issues such as trust, privacy, HCI design, and the modelling as well as understanding of social behaviours via computational means provide significant challenges. SocialCom (Social Computing and Networking) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest fundamental advances in the state of the art and practice of Social Computing & Networking and its broadly related areas.?SocialCom2014 is evolved as next premier event from previous highly successful series of SCA2013 (Karlsruhe Germany), SCA2012 (Xiangtan China), SCA2011 (Sydney, Australia), SocialNet-2010 (Social Computing and Networking, Hangzhou, China), SocialNet-2009 (Social Computing and Networking, Chengdu China), SIN-2009 (Social Intelligence and Networking, Vancouver Canada). Scope and Topics Topics of particular interest include, but are not limited to: ¡¤ Fundamentals of social computing ¡¤ Modelling of social behaviour ¡¤ Social network analysis and mining ¡¤ Big social media data ¡¤ Social media infrastructure and cloud computing ¡¤ Computational models of social simulation ¡¤ Web 2.0 and semantic web ¡¤ Innovative HCI and touch-screen models ¡¤ Modelling of social conventions and social contexts ¡¤ Social cognition and social intelligence ¡¤ Social media analytics and intelligence ¡¤ Group formation and evolution ¡¤ Security, privacy, trust, risk and cryptography in social contexts ¡¤ Social system design and architectures ¡¤ Information retrieval, data mining, artificial intelligence and agent-based technology ¡¤ Group interaction, collaboration, representation and profiling ¡¤ Handheld/mobile social computing ¡¤ Service science and service oriented interaction design ¡¤ Cultural patterns and representation ¡¤ Emotional intelligence, opinion representation, influence process ¡¤ Mobile commerce, handheld commerce and e-markets ¡¤ Connected e-health in social networks ¡¤ Social policy and government management ¡¤ Social blog, micro-blog, public blog, internet forum ¡¤ Business social software systems ¡¤ Impact on peoples activities in complex and dynamic environments ¡¤ Collaborative filtering, mining and prediction ¡¤ Social computing applications and case studies 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. 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. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/socialcom2014/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. General Chairs Ee-Peng Lim, Singapore Management University, Singapore Jiming Liu, Hong Kong Baptist University, China Jian Yang, Macquarie University, Australia Program Chairs Wookey Lee, Inha University, Korea Simon Caton, Karlsruhe Institute of Technology, Germany Surya Nepal, CSIRO, Australia Program Vice Chairs Carson Leung, University of Manitoba, Canada Yan Wang, Macquarie University, Australia Li Li, Southwest University, China Workshops Chairs Xiaohui (Daniel) Tao, University of Southern Queensland, Australia Xiangfeng Luo, Shanghai University, China Lei Li, Hefei University of Technology, China Steering Committee Jinjun Chen, University of Technology, Sydney, Australia (Chair) Adrian David Cheok, National University of Singapore, Singapore Wesley Chu, University of California, USA Igor Hawryszkiewycz, University of Technology, Sydney, Australia Irwin King, The Chinese University of Hongkong, China Shaun Lawson, University of Lincoln, UK Jiming Liu, Hong Kong Baptist University, China Jianhua Ma, Hosei University, Japan Craig Standing, Edith Cowan University, Australia V.S. Subrahmanian, University of Maryland, USA Feiyue Wang, Chinese Academia of Science, China Laurence T. Yang, St Francis Xavier University, Canada (Chair) John Yen, Pennsylvania State University, USA Local Organization Chair Nazanin Borhan, University of Technology Sydney, Australia Financial Chair Chang Liu, University of Technology Sydney, Australia Conference Secretary and Web Chair Xuyun Zhang, University of Technology Sydney, Australia

1 0

CFP: IEEE BDCloud 2014 (Big Data and Cloud Computing), 3-5 Dec 2014, Sydney, Australia
by Nazanin Borhan 04 Jul '14

04 Jul '14

[We apologize if you receive multiple copies of this CFP] Call for papers: 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: July 25, 2014 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

1 0

CFP: PriSec 2014 (Privacy and Security in Cloud and Big Data), 3-5 December 2014, Sydney, Australia.
by DEEPAK PUTHAL 04 Jul '14

04 Jul '14

[Apologies if you receive multiple copies of this message] *Call for papers:* 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: *July 30, 2014* 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

1 0