-------- Original-Nachricht -------- Betreff: [computational.science] CFP: IEEE BDCloud 2014 (Big Data and Cloud Computing), 3-5 Dec 2014, Sydney, Australia Datum: Thu, 22 May 2014 10:29:30 +1000 Von: Nazanin Borhan nazanin.borhan@gmail.com An: Computational Science Mailing List computational.science@lists.iccsa.org
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@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)
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