*** Journal of Parallel and Distributed Computing (JPDC) ***
"Scalable Systems for Big Data Management and Analytics"
Guest Editors: Srinivas Aluru (Iowa State) and Yogesh Simmhan (Univ of
Southern California)
http://ceng.usc.edu/~simmhan/
== Background and Scope ==
The growth of datasets of massive size, diversity and rates, termed
"Big Data", is accelerated by high-throughput scientific instruments,
and mobile and online sensors embedded in our daily lives. Management
and analytics of Big Data is critical for achieving scientific and
engineering breakthroughs, mining for timely and pertinent information,
and decision making. The potential of Big Data can be translated into
reality only through development of novel algorithms, effective
software platforms to navigate data, and innovative use of hardware
infrastructure to scale them. Big Data applications need to be
supported not just on HPC systems but also on emerging cyber-
infrastructure such as Cloud platforms, and accelerators like GPGPUs,
FPGAs and many-core processors. The convergence of Big Data software
platforms and accelerated cyber-infrastructure is vital for
transformative research. For this special issue, we invite articles
on innovative research to address Big Data challenges using novel
algorithms, software architectures, emerging computing platforms, and
unique approaches. Submissions that pertain to Big Data analytics in
any field are relevant to this special issue.
== Topics of Interest ==
Topics of interest for the special issue include but are not limited to:
* Scalable Big Data Software Platforms
* Big Data applications on Clouds, GPGPUs and Accelerators
* Management and analytics of semi-structured, Graph and
Scientific datasets
* Data-intensive workloads on emerging platforms
* Algorithms, approaches and evaluation of Big Data platforms
* Storage and Management of Big Data on Clouds
* Novel Big Data algorithms and applications in all fields of science
and engineering
== Submission Format & Guidelines ==
The submitted papers must be written in English and describe original
research which is not published nor currently under review by other
journals or conferences. Author guidelines for preparation of manuscript
can be found here:
http://www.elsevier.com/
ng/0743-7315/guide-for-authors
For more information, please contact: Srinivas Aluru (aluru@iastate.edu).
All manuscripts and any supplementary material should be submitted
through Elsevier Editorial System (EES). The authors must select Special
Issue: "Big Data Systems & Apps" when they reach the "Article Type" step
in the submission process. The EES website is located here:
http://ees.elsevier.com/jpdc/
== Important Dates ==
* Submission deadline: October 31, 2013
* Acceptance notification: January 31, 2014
* Final papers: March 15, 2014
The schedule may be subject to revisions. Prospective authors are
encouraged to contact the editors ahead of time to facilitate the
harmonization of the issue and ensure that the authors will be informed
of any change. The editors may be reached by email at aluru@iastate.edu
and simmhan@usc.edu.
______________________________
______
Yogesh Simmhan | simmhan@usc.edu | ceng.usc.edu/~simmhan | skype
simmhan
Research Assistant Professor, Electrical Engineering Department |
Associate Director, Center for Energy Informatics
University of Southern California | 3740 McClintock Avenue, EEB218, Los
Angeles CA 90089-2562
cel (540) 449 4770 | off (213) 740 9129 | fax (213) 740 4418
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