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Big Scientific Data Benchmarks, Architecture, and Systems

First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers

  • Rui Ren
  • Chen Zheng
  • Jianfeng Zhan
Conference proceedings SDBA 2018

Part of the Communications in Computer and Information Science book series (CCIS, volume 911)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Benchmarking

    1. Front Matter
      Pages 1-1
    2. Shaopeng Dai, Wanling Gao, Biwei Xie, Minghe Yu, Jia’nan Chen, Defei Kong et al.
      Pages 15-26
    3. Minghe Yu, Yaxuan Zang, Shaopeng Dai, Daoyi Zheng, Jinheng Li
      Pages 27-42
  3. Performance Optimization

  4. Algorithms

    1. Front Matter
      Pages 71-71
    2. Wenqing Wang, Junpeng Bao, Hui He
      Pages 85-94
  5. Big Science Data Framework

  6. Back Matter
    Pages 123-123

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First Workshop on Big Scientific Data Benchmarks, Architecture, and Systems, SDBA 2018, held in Beijing, China, in June 2018.

The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework.

Keywords

big data cloud computing computer systems data management information management map-reduce parallel processing systems

Editors and affiliations

  • Rui Ren
    • 1
  • Chen Zheng
    • 2
  • Jianfeng Zhan
    • 3
  1. 1.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  2. 2.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  3. 3.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-5910-1
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-5909-5
  • Online ISBN 978-981-13-5910-1
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site
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