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Job Scheduling for Campus-scale Global Computing with Machine Availability Constraints
Hangzhou, Zhejiang, China June 20-June 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.822006 First International Multi-Sympos ...
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Guangzhong Sun, University of Science and Technology of China
Jiulong Shan, University of Science and Technology of China
Guoliang Chen, University of Science and Technology of China
The rapid improvement of commodity components makes the Global Computing platform increasingly viable for many applications. This paper studied the problem of job scheduling for Campus-scale Global Computing on theoretical level. Based on system modeling, we first proved the scheduling problem is a NP-hard problem, and then chose the approximation algorithm LS (List Scheduling) as a solution. Finally, the theoretical analysis showed that it is a (m + 1)-approximation algorithm for our model.
Citation:
Guangzhong Sun, Jiulong Shan, Guoliang Chen, "Job Scheduling for Campus-scale Global Computing with Machine Availability Constraints," imsccs, vol. 1, pp.385-388, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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