1. INSTITUTE OF COMPUTING TECHNOLOGY 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

2. INSTITUTE OF COMPUTING TECHNOLOGY BPOE-4 Opening Remark Jianfeng Zhan and Chuliang Weng ICT, Chinese Academy of Sciences Salt Lake city, 2014. 3. 1

3. ASPLOS 2014 BPOE-4 BPOE Workshop Motivation Big data: multi-discipline research fields – System, architecture, data management We need sit together – main conferences

4. ASPLOS 2014 BPOE-4 BPOE Organization Christos Kozyrakis, Stanford Xiaofang Zhou, University of QueenslandUniversity of Queensland Dhabaleswar K Panda, Ohio State University Aoying Zhou, East China Normal University Raghunath Nambiar, Cisco Lizy K John, University of Texas at AustinLizy K John 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 Alexandros Labrinidis, University of Pittsburgh Cheng-Zhong Xu, Wayne State University Jianfeng Zhan, ICT, Chinese Academy of SciencesJianfeng Zhan

5. ASPLOS 2014 BPOE-4 Main Themes Big Data Benchmarks Emerging software Commodity Hardware Software systems Emerging Hardware OptimizationGuide

6. ASPLOS 2014 BPOE-4 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

7. ASPLOS 2014 BPOE-4 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)

8. ASPLOS 2014 BPOE-4 MPI Shark Impala NoSql Software Stacks BigDataBench summay 19 Workloads (Cloud) OLTP OLAP Offline Analytics Search Engine Social Network E-commerce Six Real-world Data Sets Google Web Graph E-commerce Transaction Wikipedia Entries BDGS(Big Data Generator Suite) for scalable data Facebook Social Network ProfSearch Person resumes Amazon Movie Reviews DataMPI Hadoop RDMA

9. ASPLOS 2014 BPOE-4 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

10. ASPLOS 2014 BPOE-4 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

11. In conjunction with ASPLOS 2014 BPOE-4 Thanks