Extended 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:

Distinguished 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.

 

 

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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@deakin.edu.au)

Massimo Cafaro, University of Salento, Lecce, Italy (massimo.cafaro@unile.it)

Rafael Tolosana, University of Zaragoza, Spain (rafaelt.unizar@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)