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
Kunqing Xie,
Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
Xiujun Ma,
Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
Cuo Cai,
Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
Yanfeng Sun
Department of Intelligence Science, National Laboratory on Machine Perception, Peking University, Beijing, 100871, China
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.
How to Cite:
Li, C., Xie, K., Ma, X., Cai, C. and Sun, Y., 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
Published on
12 Dec 2007.
Peer Reviewed
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