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Big Data 2013 : Special Issue on Network Computing and Applications for Big Data


When N/A
Where N/A
Submission Deadline Nov 15, 2013
Notification Due Jan 31, 2014
Final Version Due Mar 1, 2014

Call For Papers

Big Data presents myriad possibilities for transforming science, engineering, medicine, healthcare, finance, business and ultimately society itself. However, the volume and variety of data mandates development of new approaches and applications grounded in emerging analytics techniques and emerging processing technologies within the Big Data paradigm. This special issue calls for innovative and high-quality papers describing or demonstrating theory and practice of storing, accessing, searching, mining, processing, and visualizing big data in the context of network computing and applications. We encourage original contributions to this special issue in the following areas:

Topics of interest include (but are not limited to):

•Algorithms and applications for Big Data
•Network architectures to support Big Data analytics
•Network and resource provisioning approaches
•Network resiliency and availability
•Big Data network algorithm and management
•Novel programming models
•Big Data management and analysis
•Big Data analytic applications
•Software systems to support Big Data computing
•Tools and technologies for deploying and managing Big Data
•Parallel and distributed systems for big data storage and analyses
•Methods and applications for big data processing and management
•Big Data visualization techniques,
•Big data preservation and p
•Big Data storage and management in the cloud
•Big Data reliability assessment
•Security and privacy in Big Data
Submission Format and Guideline

All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journal or conference. A detailed submission guideline is available as “Guide to Authors” at

All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select as “SI - Big Data-Abawajy” when they reach the “Article Type” step in the submission process. The EES website is located at:

Requests for additional information should be addressed to the guest editors.

Editor in Chief

Mohammed Atiquzzaman
University of Oklahoma

Guest Editors

Jemal Abawajy
Deakin University, Australia

Albert Y. Zomaya
University of Sydney, Australia

Ivan Stojmenovic
University of Ottawa

Important dates

Paper submission: November 15, 2013
Acceptance notification: January 31, 2014
Final papers: Mar 1, 2014

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