BPOE-6 Call for Papers ------------------------- The Sixth workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware Web: http://prof.ict.ac.cn/bpoe_6_vldb/ Co-located with VLDB 2015 September 4th, 2015, Hawai'i, USA * Introduction Big data has emerged 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, computations, 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 choice on which system is best for meeting with their specific requirements. They also face challenges on how to optimize the systems and their solutions for specific or even comprehensive workloads. Meanwhile, researchers are also working on innovative data management systems, hardware architectures, operating systems, and programming systems to improve performance in dealing with big data. This workshop, the sixth its series, focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas. * Call for papers Topics: The workshop seeks papers that address hot topic issues in benchmarking, designing and optimizing big data systems. Specific topics of interest include but are not limited to: ** Big data workload characterization and benchmarking ** Performance analysis of big data systems ** 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 Papers should present original research. As big data spans many disciplines, papers should provide sufficient background material to make them accessible to the broader community. * Paper Submissions Papers must be submitted in PDF. We will accept 12-page papers in Springer LNCS style: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. The submissions will be judged based on their originality, significance, relevance, and clarity of presentation. The workshop proceeding will be published by Springer LNCS (pending). Submission site: https://easychair.org/conferences/?conf=bpoe6 Best paper award will be announced at the end of the workshop! * Important dates: Abstract due June 1,2015 Papers due June 7,2015 Notification of acceptance July 1,2015 Camera-ready copies July 30,2015 Workshop session September 4,2015 * Program Committee (updated on 2015/3/5) ** Bingsheng He, Nanyang Technological University ** Xu Liu, Rice University ** Rong Chen, Shanghai Jiao Tong University ** Weijia Xu, Texas Advanced Computing Center, University of Texas at Austin ** Lijie Wen, School of Software, Tsinghua University ** Xiaoyi Lu, The Ohio State University ** Yuqing Zhu, Institute of computing technology, Chinese Academy of Sciences ** Yueguo Chen, Renmin University ** Edwin Sha, Chongqing University ** Mingyu Chen, Institute of Computing Technology, Chinese Academy of Sciences ** Zhenyu Guo, Microsoft ** Tilmann Rabl， University of Toronto ** Farhan Tauheed,EPFL ** Chaitan Baru, San Diego Supercomputer Center, UC San Diego ** Seetharami Seelam, IBM ** Rene Mueller, IBM Research ** Cheqing Jin, East China Normal University * Organization Steering committee: ** Christos Kozyrakis, Stanford ** Xiaofang Zhou, University of Queensland ** Dhabaleswar K Panda, Ohio State University ** Aoying Zhou, East China Normal University ** Raghunath Nambiar, Cisco ** Lizy K John, University of Texas at Austin ** Xiaoyong Du, Renmin University of China ** Ippokratis Pandis, IBM Almaden Research Center ** Xueqi Cheng, ICT, Chinese Academy of Sciences ** Bill Jia, Facebook ** Lidong Zhou, Microsoft Research Asia ** H. Peter Hofstee, IBM Austin Research Laboratory ** Alexandros Labrinidis, University of Pittsburgh ** Cheng-Zhong Xu, Wayne State University ** Jianfeng Zhan, ICT, Chinese Academy of Sciences ** Guang R. Gao, University of Delaware. ** Yunquan Zhang, ICT, Chinese Academy of Sciences PC Co-Chair: Prof. Jianfeng Zhan, Institute of Computing Technology (ICT), Chinese Academy of Sciences and University of Chinese Academy of Sciences. Prof. Roberto V. Zicari, Frankfurt Big Data Lab, Goethe University, Frankfurt, Germany. Dr. Rui Han, ICT, Chinese Academy of Sciences Web Chair: Lei Wang, ICT, Chinese Academy of Sciences Xiaolong Jin, ICT, Chinese Academy of Sciences * Previous Events BPOE-1 October 7,2013 IEEE BigData Conference, San Jose, CA BPOE-2 October 31,2013 CCF HPC China, Guilin, China BPOE-3 December 5,2013 CCF Big Data Technology Conference 2013, BeiJing, China BPOE-4 March 1,2014 ASPLOS 2014, Salt Lake City, Utah, USA BPOE-5 September 5,2014 VLDB 2014, Hangzhou, Zhejiang Province, China * Sponsors CCF Task Force on Big Data