Data Science Journal (Jul 2007)

A Scalable Framework and Prototype for CAS e-Science

  • Yuanchun Zhou,
  • Yun Xiao,
  • Kaichao Wu,
  • Baoping Yan

DOI
https://doi.org/10.2481/dsj.6.S385
Journal volume & issue
Vol. 6

Abstract

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Based on the Small-World model of CAS e-Science and the power low of Internet, this paper presents a scalable CAS e-Science Grid framework based on virtual region called Virtual Region Grid Framework (VRGF). VRGF takes virtual region and layer as logic manage-unit. In VRGF, the mode of intra-virtual region is pure P2P, and the model of inter-virtual region is centralized. Therefore, VRGF is decentralized framework with some P2P properties. Further more, VRGF is able to achieve satisfactory performance on resource organizing and locating at a small cost, and is well adapted to the complicated and dynamic features of scientific collaborations. We have implemented a demonstration VRGF based Grid prototype—SDG.

Keywords