Amdahl's Law in Big Data Analytics: Alive and Kicking in TPCx-BB (BigBench)
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Vijay Janapa Reddi | Russell M. Clapp | Daniel Richins | Tahrina Ahmed | V. Reddi | Daniel Richins | R. Clapp | Tahrina Ahmed
[1] Weisong Shi,et al. Workload characterization on a production Hadoop cluster: A case study on Taobao , 2012, 2012 IEEE International Symposium on Workload Characterization (IISWC).
[2] Shengsheng Huang,et al. HiBench : A Representative and Comprehensive Hadoop Benchmark Suite , 2012 .
[3] Zhen Jia,et al. The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems , 2012, WBDB.
[4] Antony I. T. Rowstron,et al. Scale-up vs scale-out for Hadoop: time to rethink? , 2013, SoCC.
[5] John Paul Shen,et al. Best of both latency and throughput , 2004, IEEE International Conference on Computer Design: VLSI in Computers and Processors, 2004. ICCD 2004. Proceedings..
[6] Sherief Reda,et al. Pack & Cap: Adaptive DVFS and thread packing under power caps , 2011, 2011 44th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
[7] Yuqing Zhu,et al. BigDataBench: A big data benchmark suite from internet services , 2014, 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA).
[8] Age K. Smilde,et al. Principal component analysis , 2014 .
[9] Babak Falsafi,et al. Clearing the clouds: a study of emerging scale-out workloads on modern hardware , 2012, ASPLOS XVII.
[10] Eric Anderson,et al. Efficiency matters! , 2010, OPSR.
[11] Babak Falsafi,et al. Scale-out processors , 2012, 2012 39th Annual International Symposium on Computer Architecture (ISCA).
[12] Chunjie Luo,et al. Characterizing data analysis workloads in data centers , 2013, 2013 IEEE International Symposium on Workload Characterization (IISWC).
[13] Jian Li,et al. Power-Performance Implications of Thread-level Parallelism on Chip Multiprocessors , 2005, IEEE International Symposium on Performance Analysis of Systems and Software, 2005. ISPASS 2005..
[14] Todor Ivanov,et al. Evaluating Hive and Spark SQL with BigBench , 2015, ArXiv.
[15] Gu-Yeon Wei,et al. Profiling a Warehouse-Scale Computer , 2016, IEEE Micro.
[16] Thomas Willhalm,et al. Memory system characterization of big data workloads , 2013, 2013 IEEE International Conference on Big Data.
[17] John Paul Shen,et al. Mitigating Amdahl's law through EPI throttling , 2005, 32nd International Symposium on Computer Architecture (ISCA'05).
[18] Tao Li,et al. Characterizing the efficiency of data deduplication for big data storage management , 2013, 2013 IEEE International Symposium on Workload Characterization (IISWC).
[19] Carlo Curino,et al. Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big Data , 2014, TPCTC.
[20] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[21] Adam Silberstein,et al. Benchmarking cloud serving systems with YCSB , 2010, SoCC '10.
[22] Avi Mendelson,et al. Deep-dive analysis of the data analytics workload in CloudSuite , 2014, 2014 IEEE International Symposium on Workload Characterization (IISWC).
[23] Timothy G. Armstrong,et al. LinkBench: a database benchmark based on the Facebook social graph , 2013, SIGMOD '13.