Call for Special Issue Articles

Journal of Parallel and Distributed Computing

Scalable Systems for Big Data Management and Analytics

Guest Editors: Srinivas Aluru (Georgia Tech) and Yogesh Simmhan (Indian Institute of Science and Univ of Southern California)

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:

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. For more information, please contact: Srinivas Aluru (aluru@cc.gatech.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.

Important Dates

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@cc.gatech.edu and simmhan@serc.iisc.in.

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