Abstract

In grid computing, resource management and fault tolerance services are important issues. The availability of the selected resources for job execution is a primary factor that determines the computing performance. In this paper, we propose a resource manager for optimal resource selection. Our resource manager automatically selects the set of optimal resources among candidate resources that achieves optimal performance using a genetic algorithm. Typically, the probability of a failure is higher in the grid computing than in a traditional parallel computing and the failure of resources affects job execution fatally. Therefore, a fault tolerance service is essential in computational grids. And grid services are often expected to meet some minimum levels of Quality of Service (QoS) for a desirable operation. To address this issue, we also propose a fault tolerance service that satisfies QoS requirements. We extend the …

Date

November 1, 2005

Authors

HwaMin Lee, KwangSik Chung, SungHo Chin, JongHyuk Lee, DaeWon Lee, Seongbin Park, HeonChang Yu

Journal

Journal of Parallel and Distributed Computing

Volume

65

Issue

11

Pages

1305-1317

Publisher

Academic Press