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BPOE-4 workshop . The fourth workshop on B ig Data Benchmarks, P erformance O ptimization, and E merging Hardware Salt Lake City, 2014.3.1 http://prof.ict.ac.cn/bpoe. BPOE-4 Opening Remark. Jianfeng Zhan and Chuliang Weng ICT, Chinese Academy of Sciences
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BPOE-4 workshop The fourth workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware Salt Lake City, 2014.3.1 http://prof.ict.ac.cn/bpoe
BPOE-4 Opening Remark Jianfeng Zhan and Chuliang Weng ICT, Chinese Academy of Sciences Salt Lake city, 2014. 3. 1
BPOE Workshop Motivation • Big data: multi-discipline research fields • System, architecture, data management • We need sit together • main conferences
BPOE Organization 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 Haibo Chen, Shanghai Jiaotong University AlexandrosLabrinidis, University of Pittsburgh Cheng-Zhong Xu, Wayne State University Jianfeng Zhan, ICT, Chinese Academy of Sciences
Main Themes Big Data Benchmarks Optimization Guide Software systems Emerging software Commodity Hardware Emerging Hardware
Challenges and Open issues • Properties of a good big data benchmark • Comprehensive Big data Benchmarks • Big data workload characterization • What are differences from other workloads • Systematic performance optimization approaches and tools • Big Data systems and architecture
Our big data Benchmarking effort • BigDataBench • An open source big data benchmarking project • http://prof.ict.ac.cn/BigDataBench • BigDataBench publications • BigDataBench: a Big Data Benchmark Suite from Internet Services. 20th IEEE International Symposium On High Performance Computer Architecture (HPCA-2014). • Characterizing data analysis workloads in data centers. 2013 IEEE International Symposium on Workload Characterization (IISWC 2013)(Best paper award) • BigOP: generating comprehensive big data workloads as a benchmarking framework. 19th International Conference on Database Systems for Advanced Applications (DASFAA 2014) • BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking. The Fourth workshop on big data benchmarking (WBDB 2014)
(Cloud) OLTP BigDataBenchsummay OLAP Offline Analytics Six Real-world Data Sets BDGS(Big Data Generator Suite) for scalable data Amazon Movie Reviews Search Engine Wikipedia Entries Facebook Social Network Google Web Graph ProfSearch Person resumes Social Network E-commerce Transaction 19 Workloads Software Stacks E-commerce NoSql Impala Shark Hadoop RDMA MPI DataMPI
BPOE-4 program • Four keynote speakers • Big Data Workloads: An Architect’s perspective, Prof. Lizy Kurian John, University of Texas at Austin • Accelerating Big Data Processing with RDMA-Enhanced Apache Hadoop, Prof. D. K. Panda, The Ohio State University • Resource Efficient Cloud Computing, Prof. Christos Kozyrakis, Stanford University • Power Technology For a Smarter Future , Dr. Jeff Stuecheli , IBM • 6 papers
Next event • BPOE-5, VLDB 2014 • Important dates • Abstract due: June 15, 2014 • Papers due: June 30, 2014 • Notification of acceptance: July 15, 2014 • Camera-ready: July 30, 2014 • Workshop session: September 5, 2014