[hpc-announce] CFP：Big Data Benchmarks, Performance Optimization, and Emerging Hardware IEEE Transactions on Emerging Topics in Computing Special Issue/Section

[jiazhen]

         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 at ict.ac.cn 

Dhabaleswar K. (DK) Panda 
Professor of Computer Science and 
Engineering 
Ohio State University 
Columbus, OH-43210, USA 
panda at cse.ohio-state.edu 

Lizy Kurian John 
B. N. Gafford Professor 
University of Texas at 
Austin 
1 University Station C0803, 
Austin, TX 
ljohn at ece.utexas.edu
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