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Big Data Benchmarks, Performance Optimization, and Emerging Hardware

4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Jianfeng Zhan

    1. ICT, Chinese Academy of Sciences, Beijing, China

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  2. Rui Han

    1. ICT, Chinese Academy of Sciences, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Chuliang Weng

    1. Shannon (IT) Lab., Huawei, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8807)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: BPOE 2014.

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Table of contents (16 papers)

  1. Front Matter

    Pages I-X
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  2. Topical Section Headings: Benchmarking

    1. Front Matter

      Pages 1-1
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    2. On Big Data Benchmarking

      • Rui Han, Xiaoyi Lu, Jiangtao Xu
      Pages 3-18

    3. A Micro-benchmark Suite for Evaluating Hadoop MapReduce on High-Performance Networks

      • Dipti Shankar, Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat Islam, Dhabaleswar K. (DK) Panda
      Pages 19-33

    4. MemTest: A Novel Benchmark for In-memory Database

      • Qiangqiang Kang, Cheqing Jin, Zhao Zhang, Aoying Zhou
      Pages 34-46

    5. DSIMBench: A Benchmark for Microarray Data Using R

      • Shicai Wang, Ioannis Pandis, Ibrahim Emam, David Johnson, Florian Guitton, Axel Oehmichen et al.
      Pages 47-56

    6. A Benchmark to Evaluate Mobile Video Upload to Cloud Infrastructures

      • Afsin Akdogan, Hien To, Seon Ho Kim, Cyrus Shahabi
      Pages 57-70

    7. Benchmarking Replication and Consistency Strategies in Cloud Serving Databases: HBase and Cassandra

      • Huajin Wang, Jianhui Li, Haiming Zhang, Yuanchun Zhou
      Pages 71-82

  3. Topical Section Headings: Workload Characterization

    1. Front Matter

      Pages 83-83
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    2. I/O Characterization of Big Data Workloads in Data Centers

      • Fengfeng Pan, Yinliang Yue, Jin Xiong, Daxiang Hao
      Pages 85-97

    3. Characterizing Workload of Web Applications on Virtualized Servers

      • Xiajun Wang, Song Huang, Song Fu, Krishna Kavi
      Pages 98-108

  4. Topical Section Headings: Performance Optimization and Evaluation

    1. Front Matter

      Pages 109-109
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    2. Performance Benefits of DataMPI: A Case Study with BigDataBench

      • Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu
      Pages 111-123

    3. InvarNet-X: A Comprehensive Invariant Based Approach for Performance Diagnosis in Big Data Platform

      • Pengfei Chen, Yong Qi, Di Hou, Huachong Sun
      Pages 124-140

    4. Tuning Hadoop Map Slot Value Using CPU Metric

      • Kamal Kc, Vincent W. Freeh
      Pages 141-153

    5. A Study of SQL-on-Hadoop Systems

      • Yueguo Chen, Xiongpai Qin, Haoqiong Bian, Jun Chen, Zhaoan Dong, Xiaoyong Du et al.
      Pages 154-166

    6. Predoop: Preempting Reduce Task for Job Execution Accelerations

      • Yi Liang, Yufeng Wang, Minglu Fan, Chen Zhang, Yuqing Zhu
      Pages 167-180

    7. Record Placement Based on Data Skew Using Solid State Drives

      • Jun Suzuki, Shivaram Venkataraman, Sameer Agarwal, Michael Franklin, Ion Stoica
      Pages 181-193

    8. Efficient HTTP Based I/O on Very Large Datasets for High Performance Computing with the Libdavix Library

      • Adrien Devresse, Fabrizio Furano
      Pages 194-205

  5. Topical Section Headings: Emerging Hardware

    1. Front Matter

      Pages 207-207
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  1. Big Data Benchmarks, Performance Optimization, and Emerging Hardware

Keywords

About this book

This book constitutes the thoroughly revised selected papers of the 4th and 5th workshops on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 4 and BPOE 5, held respectively in Salt Lake City, in March 2014, and in Hangzhou, in September 2014. The 16 papers presented were carefully reviewed and selected from 30 submissions. Both workshops focus on architecture and system support for big data systems, such as benchmarking; workload characterization; performance optimization and evaluation; emerging hardware.

Editors and Affiliations

  • ICT, Chinese Academy of Sciences, Beijing, China

    Jianfeng Zhan, Rui Han

  • Shannon (IT) Lab., Huawei, China

    Chuliang Weng

Bibliographic Information

  • Book Title: Big Data Benchmarks, Performance Optimization, and Emerging Hardware

  • Book Subtitle: 4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014, Revised Selected Papers

  • Editors: Jianfeng Zhan, Rui Han, Chuliang Weng

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-13021-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-13020-0Published: 26 November 2014

  • eBook ISBN: 978-3-319-13021-7Published: 10 November 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 221

  • Number of Illustrations: 100 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Information Storage and Retrieval

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