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Big Data Benchmarks, Performance Optimization, and Emerging Hardware

6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Jianfeng Zhan

    1. Institute of Computing, 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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  3. Roberto V. Zicari

    1. FB12 - DBIS (5. Stock), Goethe Universität Frankfurt, Frankfurt, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9495)

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 2015.

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Table of contents (11 papers)

  1. Front Matter

    Pages I-X
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  2. Benchmarking

    1. Front Matter

      Pages 1-1
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    2. Revisiting Benchmarking Principles and Methodologies for Big Data Benchmarking

      • Liutao Zhao, Wanling Gao, Yi Jin
      Pages 3-9

    3. BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads

      • Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Lizy K. John, Jiangtao Xu et al.
      Pages 10-21

  3. Benchmarking and Workload Characterization

    1. Front Matter

      Pages 23-23
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    2. Towards a Big Data Benchmarking and Demonstration Suite for the Online Social Network Era with Realistic Workloads and Live Data

      • Rui Zhang, Irene Manotas, Min Li, Dean Hildebrand
      Pages 25-36

    3. On Statistical Characteristics of Real-Life Knowledge Graphs

      • Wenliang Cheng, Chengyu Wang, Bing Xiao, Weining Qian, Aoying Zhou
      Pages 37-49

    4. Mbench: Benchmarking a Multicore Operating System Using Mixed Workloads

      • Gang Lu, Xinlong Lin, Runlin Zhou
      Pages 50-63

  4. Performance Optimization and Evaluation

    1. Front Matter

      Pages 65-65
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    2. Evolution from Shark to Spark SQL: Preliminary Analysis and Qualitative Evaluation

      • Xinhui Tian, Gang Lu, Xiexuan Zhou, Jingwei Li
      Pages 67-80

    3. How Data Volume Affects Spark Based Data Analytics on a Scale-up Server

      • Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguade
      Pages 81-92

    4. An Optimal Reduce Placement Algorithm for Data Skew Based on Sampling

      • Zhuo Tang, Wen Ma, Rui Li, Kenli Li, Keqin Li
      Pages 93-106

    5. AAA: A Massive Data Acquisition Approach in Large-Scale System Monitoring

      • Runlin Zhou, Yanfei Lv, Dongjin Fan, Hong Zhang, Chunge Zhu
      Pages 107-116

  5. Emerging Hardware

    1. Front Matter

      Pages 117-117
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    2. A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS

      • Adithya Bhat, Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dipti Shankar, Dhabaleswar K. (DK) Panda
      Pages 119-132

    3. Stream-Based Lossless Data Compression Hardware Using Adaptive Frequency Table Management

      • Shinichi Yamagiwa, Koichi Marumo, Hiroshi Sakamoto
      Pages 133-146

  6. Back Matter

    Pages 147-147
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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 6th workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases.

The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop 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. This book also invites three papers from several industrial partners, including two papers describing tools used in system benchmarking and monitoring and one paper discussing principles and methodologies in existing big data benchmarks.

Editors and Affiliations

  • Institute of Computing, Chinese Academy of Sciences, Beijing, China

    Jianfeng Zhan

  • ICT, Chinese Academy of Sciences, Beijing, China

    Rui Han

  • FB12 - DBIS (5. Stock), Goethe Universität Frankfurt, Frankfurt, Germany

    Roberto V. Zicari

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