A Scalable Framework and Prototype for CAS e-Science | Zendy

Yuanchun Zhou | Zendy; Yun Xiao | Zendy; Kaichao Wu | Zendy; Baoping Yan | Zendy

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A Scalable Framework and Prototype for CAS e-Science

Author(s) -

Yuanchun Zhou,

Yun Xiao,

Kaichao Wu,

Baoping Yan

Publication year - 2007

Publication title -

data science journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.358

H-Index - 21

ISSN - 1683-1470

DOI - 10.2481/dsj.6.s385

Subject(s) - computer science , scope (computer science) , usability , transparency (behavior) , scalability , metadata , implementation , open data , data science , reuse , world wide web , data publishing , publishing , database , software engineering , political science , engineering , computer security , human–computer interaction , law , programming language , waste management

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

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