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Grid workflow scheduling based on reliability cost
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Source ACM International Conference Proceeding Series; Vol. 304 archive
Proceedings of the 2nd international conference on Scalable information systems table of contents
Suzhou, China
SESSION: Grid computing table of contents
Article No. 12  
Year of Publication: 2007
ISBN:978-1-59593-757-5
Authors
Yongcai Tao  Huazhong University of Science and Technology, Wuhan, China
Hai Jin  Huazhong University of Science and Technology, Wuhan, China
Xuanhua Shi  Huazhong University of Science and Technology, Wuhan, China
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
Bibliometrics
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ABSTRACT

Grid workflow is a complex and typical grid application, but owing to the highly dynamic feature of grid environments, resource unavailability is increasingly becoming severe and poses great challenges to grid workflow scheduling. Though fault recovery mechanism adopted in grid system guarantee the completion of jobs to some extent, but wasting system resources. To overcome the shortcoming, this paper proposes a Markov Chain based grid node availability prediction model which can efficiently predict grid nodes' availability in the future without adding significant overhead. Based on this model, the paper presents a grid workflow scheduling based on reliability cost (RCGS). The performance evaluation results demonstrate that RCGS improves the dependability of workflow execution and success ratio of tasks with low reliability cost.


REFERENCES

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Collaborative Colleagues:
Yongcai Tao: colleagues
Hai Jin: colleagues
Xuanhua Shi: colleagues