[hpc-announce] Call for Papers Special Issue on Soft Computing for Big Data in the Elsevier Journal of Applied Soft Computing

[Amirmohammad Rahmanisane]

We apologize if you receive multiple copies of this CFP

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Call for papers: Special Issue on Soft Computing for Big Data<http://www.journals.elsevier.com/applied-soft-computing/call-for-papers/special-issue-on-soft-computing-for-big-data/> in the Elsevier Journal of Applied Soft Computing (5-Year Impact Factor: 2.526)

The era of big data computing is coming. As scientific applications become more data intensive, the management of data resources and dataflow between the storage and compute resources is becoming bottleneck. Analyzing, visualizing, and managing these large data sets are posing significant challenges to the research community. The conventional parallel systems and software will run out of performance with the explosive data scale. Up to now more and more researchers are seeking high-level data level and task level parallelism using novel soft computing architectures and software.

This special issue solicits innovative ideas and solutions in all aspects around data intensive computing in system and application domains. The general scope of this issue covers the design, modeling, prototyping, programming and implementation of high performance computing architectures, systems and software for data-Intensive applications. Topics of interest include, but are not limited to:

  *   Data-intensive computing applications, characteristics, challenges
  *   Innovative computer software architectures and systems for Big Data processing
  *   Big Data mining, advanced analytics and visualization
  *   MapReduce and new programming models for Big Data processing
  *   Operating systems and real-time processing for data-intensive applications
  *   Formal design and verification for data-intensive applications
  *   Languages and compiler support for data-intensive in high performance systems
  *   Interplay between software components for novel big data applications
  *   Performance characterization, evaluation, optimization and design trade-offs
  *   Energy-efficient issues for data-intensive systems
  *   Big data case studies such as Medicine, Healthcare, Finance, Business, Retailing, Transportation and Science. (e.g. DNA sequencing, deep learning).

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Conference papers may only be submitted if the paper was completely re-written or substantially extended (30%). The papers should be submitted via the Manuscript Central website and should adhere to standard formatting requirements.

Authors should submit their journal version at Manuscript Central adhering to the formatting instructions on the journal Web page and indicate that you are submitting to the Special Issue on Big Data Computing on the first page and in the field "Author's Cover Letter:" in manuscript central. For additional questions please send an email to the Guest Editors.

Time Table

Paper submission: November 30, 2014
1st round review notification: March 31, 2015
1st revision due: May 30, 2015
2nd round review notification: July 15, 2015
2nd revision due: August 15, 2015
Final acceptance: September 15, 2015

Please notice that the scheduled review dates are approximate dates and subject to change. We will kindly inform you about the review results as soon as a decision was made. Questions regarding the disclosure of the review results should be addressed to the Guest Editors.

Guest Editors

Chao Wang
Associate Professor
Department of Computer Science
University of Science and Technology of China
Email: saintwc at mail.ustc.edu.cn<mailto:saintwc at mail.ustc.edu.cn>, chao.wang at ieee.org<mailto:chao.wang at ieee.org>
Home Page: http://home.ustc.edu.cn/~saintwc<http://home.ustc.edu.cn/%7Esaintwc>

Morris Chang
Department of Computer Science
Iowa State University
Email: morris at iastate.edu<mailto:morris at iastate.edu>

Amir-Mohammad Rahmani
Department of Information Technology
University of Turku, Finland
Email: amirah at utu.fi<mailto:amirah at utu.fi>

Home Page: http://users.utu.fi/amirah/

Dong Dai
Department of Computer Science
Texas Tech University
Email: dong.dai at ttu.edu<mailto:dong.dai at ttu.edu>

Aili Wang
School of Software Engineering
University of Science and Technology of China
Email: wangal at ustc.edu.cn<mailto:wangal at ustc.edu.cn>
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