An Improved Task Scheduling Algorithm in Grid Computing Environment

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DOI: 10.4236/ijcns.2011.44027   PDF   HTML     5,672 Downloads   11,532 Views   Citations

Abstract

Algorithm research of task scheduling is one of the key techniques in grid computing. This paper firstly describes a DAG task scheduling model used in grid computing environment, secondly discusses generational scheduling (GS) and communication inclusion generational scheduling (CIGS) algorithms. Finally, an improved CIGS algorithm is proposed to use in grid computing environment, and it has been proved effectively.

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L. Yu, G. Zhou and Y. Pu, "An Improved Task Scheduling Algorithm in Grid Computing Environment," International Journal of Communications, Network and System Sciences, Vol. 4 No. 4, 2011, pp. 227-231. doi: 10.4236/ijcns.2011.44027.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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[2] M. Wu, W. Shu, et al., “Efficient Local Search for DAG Scheduling,” IEEE Transactions on Parallel and Distributed Systems, Vol. 12, No. 6, 2001, pp. 617-627.
[3] R. S. Oliveira and J. S. Fraga, “Fixed Priority Scheduling of Tasks with Arbitrary Precedence Constraints in Distributed Hard Real-Time Systems,” Journal of Systems Architecture, Vol. 46, No. 9, 2000, pp. 991-1004.
[4] B. R. Carter, D. W. Watson, et al., “Generational Scheduling for Dynamic Task Management in Heterogeneous Computing Systems,” Journal of Information Sciences, Vol. 106, No. 1, 1998, pp. 219-236.

  
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