大数据 (Mar 2021)

GVDS: a global virtual data space for wide-area high-performance computing environments

  • Limin XIAO,
  • Yao SONG,
  • Guangjun QIN,
  • Hanjie ZHOU,
  • Chaobo WANG,
  • Bing WEI,
  • Wei WEI,
  • Zhisheng HUO

Journal volume & issue
Vol. 7
p. 2021017

Abstract

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The wide-area high-performance computing environment is the core information infrastructure to support technology innovation, economic development, and national defense.However, heterogeneous storage resources are geographically distributed in wide-area high-performance computing environments, resulting in the barriers between applications and data.The requirements of unified data management and efficient data access cannot be met.A method of establishing virtual data space and a data access optimization method was presented, and a global virtual data space (GVDS) for wide-area high-performance computing environments to satisfy the requirements was implemented.GVDS aggregates geographically distributed and heterogeneous storage resources, creating a unified virtual data space to provide unified and efficient data access.Sharing and collaborative processing of geographically distributed data were achieved in widearea environments.The experimental results indicate that compared with the state-of-the-art wide-area storage system in the field of high-performance computing, such as OneData and GFFS, GVDS has similar functions and improves the read bandwidth significantly.

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