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    NTHUR > College of Electrical Engineering and Computer Science > Department of Computer Science > CS Journal / Magazine Articles >  Adaptive Processor Allocation for Moldable Jobs in Computational Grid

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    Title: Adaptive Processor Allocation for Moldable Jobs in Computational Grid
    Authors: Kuo-Chan Huang;Po-Chi Shih;Yeh-Ching Chung
    Teacher: 鍾葉青
    Date: 2009
    Publisher: IGI Global
    Relation: International Journal of Grid and High Performance Computing, Vol. 1, No. 1, 2009, pp. 10-21
    Keywords: adaptive processor allocation
    computational grid
    job scheduling
    moldable property
    Abstract: ©2009 IGI Global-In a computational grid environment, a common practice is try to allocate an entire parallel job onto a single participating site. Sometimes a parallel job, upon its submission, cannot fit in any single site due to the occupation of some resources by running jobs. How the job scheduler handles such situations is an important issue which has the potential to further improve the utilization of grid resources as well as the performance of parallel jobs. This paper develops adaptive processor allocation policies based on the moldable property of parallel jobs to deal with such situations in a heterogeneous computational grid environment. The proposed policies are evaluated through a series of simulations using real workload traces. The results indicate that the proposed adaptive processor allocation policies can further improve the system performance of a heterogeneous computational grid significantly.
    Appears in Collections:[Department of Computer Science] CS Journal / Magazine Articles

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