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Research Papers

A Distributed Cooperative Technology for Spatial Grid Computing

Authors:

Chenyu Li ,

Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
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Kunqing Xie,

Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
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Xiujun Ma,

Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
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Cuo Cai,

Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
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Yanfeng Sun

Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
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Abstract

Grid computing for resources sharing and distributed computing has been researched widely in the past. As for distributed spatial datasets, the current centralized administrative scheme may become the system performance bottleneck. This paper presents a distributed cooperative grid computing technology to facilitate complex spatial applications by collaboration among distributed spatial resources. A hierarchical spatial index and communication protocol has been designed for the collaboration, which enables a dynamical choice for the best quality nodes for specified subtasks, synchronized execution, and compensation for a failure to execute a subtask. Also, we present an approach for dynamic resource allocation and distributed transaction mechanics to ensure consistency.
DOI: http://doi.org/10.2481/dsj.6.S889
How to Cite: Li, C. et al., (2007). A Distributed Cooperative Technology for Spatial Grid Computing. Data Science Journal. 6, pp.S889–S897. DOI: http://doi.org/10.2481/dsj.6.S889
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Published on 12 Dec 2007.
Peer Reviewed

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