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BPOE SI 2016 : IEEE Transactions on Emerging Topics in Computing Special Issue---Big Data Benchmarks, Performance Optimization, and Emerging Hardware 2016 | |||||||||||||||
Link: http://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tetcsi_bdbpoeh.pdf | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPERS
Big Data Benchmarks, Performance Optimization, and Emerging Hardware IEEE Transactions on Emerging Topics in Computing Special Issue/Section Second Issue of 2016 IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on Big Data Benchmarks, Performance Optimization, and Emerging Hardware Scheduled to appear in the Second issue of 2016. Big data are emerging as a strategic property of nations and organizations. There are driving needs to generate values from big data. However, the sheer volume of big data requires significant storage capacity, transmission bandwidth, computation, and power consumption. It is expected that systems with unprecedented scales can resolve the problems caused by varieties of big data with daunting volumes. Nevertheless, without big data benchmarks, it is very difficult for big data owners to make a decision on which system is best for meeting with their specific requirements. They also face challenges on how to optimize the systems for specific or even comprehensive workloads. Meanwhile, researchers are also working on innovative data management systems, hardware architectures, and operating systems to improve performance in dealing with big data. This focus of this special issue will be on architecture and system support for big data systems. Topics of interest include, but are not limited to: • Big data workload characterization and benchmarking • Workload-optimized big data systems • Innovative prototypes of big data infrastructures • Emerging hardware technologies in big data systems • Operating systems support for big data systems • Interactions among architecture, systems, and data management • Hardware and software co-design for big data • Practice report of evaluating and optimizing large-scale big data systems Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computer Society web site, www.computer.org. Please thoroughly read these before submitting your manuscript. TETC is the newest Transactions of the IEEE Computer Society with Open Access only. Please submit your paper to Manuscript Central at https://mc.manuscriptcentral.com/tetc-cs Please note the following important dates. • Submission Deadline: June 1, 2015 • Reviews Completed: September 1, 2015 • Major Revisions Due (if Needed): October 1, 2015 • Reviews of Revisions Completed (if Needed): November 1, 2015 • Minor Revisions Due (if Needed): December 1, 2015 • Notification of Final Acceptance: February 1, 2016 • Publication Materials for Final Manuscripts Due: March 1, 2016 • Publication date: Second Issue 2016 (June Issue) Please address all other correspondence regarding this special Section to Lead Guest Editor Jianfeng Zhan Guest Editors Jianfeng Zhan Professor, Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences Beijing, China, 100190 zhanjianfeng@ict.ac.cn Dhabaleswar K. (DK) Panda Professor of Computer Science and Engineering Ohio State University Columbus, OH-43210, USA panda@cse.ohio-state.edu Lizy Kurian John B. N. Gafford Professor University of Texas at Austin 1 University Station C0803, Austin, TX ljohn@ece.utexas.edu |
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