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Network and Parallel Computing

16th IFIP WG 10.3 International Conference, NPC 2019, Hohhot, China, August 23–24, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Xiaoxin Tang

    1. Shanghai University of Finance and Economics, Shanghai, China

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  2. Quan Chen

    1. Shanghai Jiao Tong University, Shanghai, China

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  3. Pradip Bose

    1. IBM T. J. Watson Research Center, Yorktown Heights, USA

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  4. Weiming Zheng

    1. Tsinghua University, Beijing, China

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  5. Jean-Luc Gaudiot

    1. University of California, Irvine, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11783)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: NPC 2019.

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Table of contents (38 papers)

  1. Front Matter

    Pages i-xiv
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  2. Graph Computing

    1. Front Matter

      Pages 1-1
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    2. GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing

      • Shang Liu, Zhan Shi, Dan Feng, Shuo Chen, Fang Wang, Yamei Peng
      Pages 3-15

    3. Game-Based Multi-MD with QoS Computation Offloading for Mobile Edge Computing of Limited Computation Capacity

      • Junyan Hu, Chubo Liu, Kenli Li, Keqin Li
      Pages 16-27

  4. Neural Networks

    1. Front Matter

      Pages 67-67
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    2. PRTSM: Hardware Data Arrangement Mechanisms for Convolutional Layer Computation on the Systolic Array

      • Shuquan Wang, Lei Wang, Shiming Li, Tian Shuo, Shasha Guo, Ziyang Kang et al.
      Pages 69-81

    3. PParabel: Parallel Partitioned Label Trees for Extreme Classification

      • Jiaqi Lu, Jun Zheng, Wenxin Hu
      Pages 82-92

    4. Statistical Analysis and Prediction of Parking Behavior

      • Ningxuan Feng, Feng Zhang, Jiazao Lin, Jidong Zhai, Xiaoyong Du
      Pages 93-104

  5. Big Data+Cloud

    1. Front Matter

      Pages 105-105
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    2. ASTracer: An Efficient Tracing Tool for HDFS with Adaptive Sampling

      • Yang Song, Yunchun Li, Shuhan Wu, Hailong Yang, Wei Li
      Pages 107-119

    3. BGElasor: Elastic-Scaling Framework for Distributed Streaming Processing with Deep Neural Network

      • Weimin Mu, Zongze Jin, Junwei Wang, Weilin Zhu, Weiping Wang
      Pages 120-131

    4. High Performance DDoS Attack Detection System Based on Distribution Statistics

      • Xia Xie, Jinpeng Li, Xiaoyang Hu, Hai Jin, Hanhua Chen, Xiaojing Ma et al.
      Pages 132-142

    5. DDP-B: A Distributed Dynamic Parallel Framework for Meta-genomics Binary Similarity

      • Mengxian Chi, Xu Jin, Feng Li, Hong An
      Pages 143-155

    6. Optimal Resource Allocation Through Joint VM Selection and Placement in Private Clouds

      • Hongkun Chen, Feilong Tang, Linghe Kong, Wenchao Xu, Xingjun Zhang, Yanqin Yang
      Pages 156-168

    7. A Parallel Multi-keyword Top-k Search Scheme over Encrypted Cloud Data

      • Maohu Yang, Hua Dai, Jingjing Bao, Xun Yi, Geng Yang
      Pages 169-181

    8. N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance

      • Lin Gu, Qizhi Tang, Song Wu, Hai Jin, Yingxi Zhang, Guoqiang Shi et al.
      Pages 182-194
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  1. Network and Parallel Computing

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About this book

This book constitutes the proceedings of the 16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019, held in Hohhot, China, in August 2019. 
The 22 full and 11 short papers presented in this volume were carefully reviewed and selected from 107 submissions. They were organized in topical sections named: graph computing; NOC and networks; neural networks; big data and cloud; HPC; emerging topics; memory and file system.

Editors and Affiliations

  • Shanghai University of Finance and Economics, Shanghai, China

    Xiaoxin Tang

  • Shanghai Jiao Tong University, Shanghai, China

    Quan Chen

  • IBM T. J. Watson Research Center, Yorktown Heights, USA

    Pradip Bose

  • Tsinghua University, Beijing, China

    Weiming Zheng

  • University of California, Irvine, USA

    Jean-Luc Gaudiot

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