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Benchmarking, Measuring, and Optimizing

First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Chen Zheng

    1. Chinese Academy of Sciences, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Jianfeng Zhan

    1. Chinese Academy of Sciences, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11459)

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: Bench 2018.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xi
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  2. AI Benchmarking

    1. Front Matter

      Pages 1-1
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    2. AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking

      • Wanling Gao, Chunjie Luo, Lei Wang, Xingwang Xiong, Jianan Chen, Tianshu Hao et al.
      Pages 3-9

    3. HPC AI500: A Benchmark Suite for HPC AI Systems

      • Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen et al.
      Pages 10-22

    4. Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking

      • Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng et al.
      Pages 23-30

    5. AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence

      • Chunjie Luo, Fan Zhang, Cheng Huang, Xingwang Xiong, Jianan Chen, Lei Wang et al.
      Pages 31-35

    6. A Survey on Deep Learning Benchmarks: Do We Still Need New Ones?

      • Qin Zhang, Li Zha, Jian Lin, Dandan Tu, Mingzhe Li, Fan Liang et al.
      Pages 36-49

  3. Cloud

    1. Front Matter

      Pages 51-51
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    2. Benchmarking VM Startup Time in the Cloud

      • Samiha Islam Abrita, Moumita Sarker, Faheem Abrar, Muhammad Abdullah Adnan
      Pages 53-64

    3. An Open Source Cloud-Based NoSQL and NewSQL Database Benchmarking Platform for IoT Data

      • Arjun Pandya, Chaitanya Kulkarni, Kunal Mali, Jianwu Wang
      Pages 65-77

    4. Scalability Evaluation of Big Data Processing Services in Clouds

      • Xin Zhou, Congfeng Jiang, Yeliang Qiu, Tiantian Fan, Yumei Wang, Liangbin Zhang et al.
      Pages 78-90

    5. PAIE: A Personal Activity Intelligence Estimator in the Cloud

      • Yingjie Shi, Fang Du, Yanyan Zhang, Zhi Li, Tao Zhang
      Pages 91-104

    6. DCMIX: Generating Mixed Workloads for the Cloud Data Center

      • Xingwang Xiong, Lei Wang, Wanling Gao, Rui Ren, Ke Liu, Chen Zheng et al.
      Pages 105-117

    7. Machine-Learning Based Spark and Hadoop Workload Classification Using Container Performance Patterns

      • Mikhail Genkin, Frank Dehne, Pablo Navarro, Siyu Zhou
      Pages 118-130

    8. Testing Raft-Replicated Database Systems

      • Guohao Ding, Weining Qian, Peng Cai, Tianze Pang, Qiong Zhao
      Pages 131-144

  4. Big Data

    1. Front Matter

      Pages 145-145
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    2. Benchmarking for Transaction Processing Database Systems in Big Data Era

      • Chunxi Zhang, Yuming Li, Rong Zhang, Weining Qian, Aoying Zhou
      Pages 147-158

    3. UMDISW: A Universal Multi-Domain Intelligent Scientific Workflow Framework for the Whole Life Cycle of Scientific Data

      • Qi Sun, Yue Liu, Wenjie Tian, Yike Guo, Bocheng Li
      Pages 159-171

    4. MiDBench: Multimodel Industrial Big Data Benchmark

      • Yijian Cheng, Mengqian Cheng, Hao Ge, Yuhe Guo, Yuanzhe Hao, Xiaoguang Sun et al.
      Pages 172-185

  5. Modelling and Prediction

    1. Front Matter

      Pages 187-187
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Other volumes

  1. Benchmarking, Measuring, and Optimizing

Keywords

About this book

This book constitutes the refereed proceedings of the First International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018, held in Seattle, WA, USA, in December 2018.

The 20 full papers presented were carefully reviewed and selected from 51 submissions.
The papers are organized in topical sections named: AI Benchmarking; Cloud; Big Data; Modelling and Prediction; and Algorithm and Implementations.

Editors and Affiliations

  • Chinese Academy of Sciences, Beijing, China

    Chen Zheng, Jianfeng Zhan

Bibliographic Information

  • Book Title: Benchmarking, Measuring, and Optimizing

  • Book Subtitle: First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers

  • Editors: Chen Zheng, Jianfeng Zhan

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-32813-9

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-32812-2Published: 16 October 2019

  • eBook ISBN: 978-3-030-32813-9Published: 15 October 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 262

  • Number of Illustrations: 51 b/w illustrations, 69 illustrations in colour

  • Topics: Information Systems Applications (incl. Internet)

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