Referenced Items are not available for this document.
Grid computing is the technology for building Internet-wide computing environment in which distributed and heterogeneous resources are integrated. However, in Grid environment, job scheduling is confronted with a great challenge. This paper focuses on lightweight jobs scheduling in Grid Computing. An Adaptive Fine-grained Job Scheduling (AFJS) algorithm is proposed. Compared with other fine-grained job scheduling algorithms based on grouping, AFJS can outperform them according to the experimental results.
Published in:
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
(Volume:1
)
Date of Conference: 7-8 March 2009
- Page(s):
- 556 - 559
- Print ISBN:
- 978-1-4244-3581-4
- INSPEC Accession Number:
- 10686220
- Conference Location :
- Wuhan, Hubei
- Digital Object Identifier :
- 10.1109/ETCS.2009.132
- Product Type:
- Conference Publications
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