An empirical study of SDN-accelerated HPC infrastructure for scientific research

Susumu Date, Hirotake Abe, Dashdavaa Khureltulga, Keichi Takahashi, Yoshiyuki Kido, Yasuhiro Watashiba, Pongsakorn U-Chupala, Kohei Ichikawa, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

High performance computing is required for Big Science application because the proliferation and huge amount of scientific data that needs to be analyzed is a serious problem. Traditionally, network resources were generally assumed as a static resource users cannot control on demand. By integrating network programmability to every stage of a scientific workflow, this study explores a next-generation high performance computing infrastructure where both computational and network resources are flexibly sliced and efficiently leveraged based on the resource requirements of the scientific applications. Technically, Software Defined Networking has been adopted as a key technology for this purpose. In this paper the concept and goals of a next-generation high performance computing infrastructure is introduced and the current status of our research is discussed.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Cloud Computing Research and Innovation, ICCCRI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages89-96
Number of pages8
ISBN (Electronic)9781509001446
DOIs
Publication statusPublished - 2016 Feb 26
Externally publishedYes
Event3rd International Conference on Cloud Computing Research and Innovation, ICCCRI 2015 - Singapore, Singapore
Duration: 2015 Oct 262015 Oct 27

Publication series

NameProceedings - 2015 International Conference on Cloud Computing Research and Innovation, ICCCRI 2015

Conference

Conference3rd International Conference on Cloud Computing Research and Innovation, ICCCRI 2015
Country/TerritorySingapore
CitySingapore
Period15/10/2615/10/27

Keywords

  • Job management system
  • MPI
  • On-demand cloud formation
  • Remote visualization
  • SDN

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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