[hpc-announce] CFP:The 6th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2016)

Yang Wang yangwang.opt at gmail.com
Sun Feb 28 22:03:20 CST 2016

The 6th IEEE International Conference on Big Data and Cloud Computing
(BDCloud 2016)


Important Dates
Workshops proposals deadline:  April 5th, 2016

Paper submission for main conference deadline:  May 1st, 2016

Paper submission for workshops deadline:  May 20th, 2016
Paper decision to authors: June 15th, 2016
Camera ready & Author Registration deadline: July 10th, 2016

Early Registration deadline: July 25th
Conference dates: October 8-10, 2016

Paper Submission and Publication
Submissions must include an abstract, keywords, and the e-mail address of
the corresponding author. The length of papers should not exceed 8 pages in
the IEEE CS Conference format, including tables, figures, and references.
The template files for LATEX or WORD can be downloaded from the following

All paper submissions must represent original and unpublished work. Each
submission will be peer reviewed by at least three program committee
members. Should the paper be accepted, at least one of the authors must
register for the conference and present the work. All accepted and
presented papers will be published in conference proceedings by IEEE CPS
(EI indexed).

Submit your paper(s) at the submission site:

Some of the best works from all accepted and presented BDCloud 2016
papers (after
their expansion and second round of independent reviews) will be invited
into special issues of carefully chosen IEEE and ACM journals. We contacted
the editorial board of three journals and received encouraging response
about the possibility of offering a special issue of this journal based on
the works presented during the BDCloud 2016 conference.


Big data is a term applied to many data sets with sizes going beyond the
ability of commonly used software tools to capture, manage, process and
analyze the data within a tolerable time period. Such datasets are usually
characterized by having high VARIETY due to the data coming from various
sources or having highly unstructured character (examples include data from
social media, sensor networks, scientific applications, video and image
formats, websites and documents, Internet search indexes, medical records,
business transactions, web logs, etc.); and large VOLUMES that are needed
to be processed with high data VELOCITY (I/O-intensive systems). Moreover,
big data need to be high VALUE and VERACITY for decision makers to
effectively take action and trust the results and rationale.

Cloud computing is an increasingly popular approach for delivering
information infrastructures and resources as computing services. A broad
range of customers (both enterprises and individuals) can usually provision
and deploy Cloud services via pay-as-you-go pricing models, which let them
save significant capital investments in their own computing infrastructures. As
estimated by IDC, by 2020, about 40% data globally will be touched with
Cloud Computing.

Cloud Computing can provide significant storage, computation, and
distribution capabilities in support of solving multiple Big Data
challenges. The BDCloud (Big Data and Cloud Computing) conference 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 support synergy of both fields.

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 virtualization
•   Monitoring and auditing in the cloud
•   Scalable and elastic cloud services
•   Social computing in the cloud
•   Innovative HCI and touch-screen models and technologies for the cloud
•   Mobile commerce, handheld commerce, and e-markets in the cloud
•   Intelligent/agent-based cloud computing
•   Migration of business applications to the cloud
•   Energy efficient cloud architecture
•   Energy aware data storage and computation in cloud computing
•   Energy aware scheduling, monitoring, auditing in the cloud
•   Green Cloud
•   Cloud use case studies
•   Big Data theory, applications and challenges
•   Big Data mining and analytics in the cloud
•   Big Data Infrastructure, MapReduce and cloud computing
•   Big Data visualization
•   Large data streams and incremental datasets in the 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 in the 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

Organizing Committee
== General Chairs==
Yi Pan, Georgia State University, USA

Albert Zomaya, University of Sydney, Australia

== Program Chairs ==
Rafal Angryk, Georgia State University, USA

Xiaojun Cao, Georgia State University, USA

Guanchun Luo, University of Electronic Science and Technology of China,

== Proceedings Chair ==

M. Shahriar Hossain, University of Texas at El Paso, USA

== Workshop Chair ==
Juan Banda, Stanford University, USA

== Publicity Chair ==
Yang Wang, La Salle University, USA

== Local/Organizing Chair ==
Tammie Dudley, Georgia State University, Atlanta, USA

== Finance/Registration Chair ==
Zhipeng Cai, Georgia State University, USA

== Web Chairs ==
Bing Li, Georgia State University, USA

Ning Yu, Georgia State University, USA

== Program Committee ==
See BDCloud-2016 web site: http://grid.cs.gsu.edu/~bdcloud/

Contact Information
If you have any question about the CFP and paper submission, please email to
 bdcloud2016 at gmail.com.
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