[hpc-announce] CFP: IEEE BDCloud 2014 (Big Data and Cloud Computing), 3-5 Dec 2014, Sydney, Australia

[Nazanin Borhan]

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 at deakin.edu.au)
Massimo Cafaro, University of Salento, Lecce, Italy (massimo.cafaro at unile.it
)
Rafael Tolosana, University of Zaragoza, Spain (rafaelt.unizar at 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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