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