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LeHL08gada

K. Leal, E. Huedo, I.M. Llorente. Dynamic Objective and Advance Scheduling in Federated Grids. In GADA 2008. OnTheMove Confederated International Conferences (OTM 2008), Lecture Notes in Computer Science, Volume 5331, Pages 711-725, 2008.

Abstract

In this paper we present a dynamic mapping strategy for scheduling independent tasks in Federated Grids. This strategy is performed in two steps: first we calculate a new objective, and then we apply advance scheduling to meet the new objective. The results obtained by simulation show that the combination of these two steps reduces the makespan and increases the throughput. Thus, the mapping strategy proposed meets two of the most common objective functions of tasks scheduling problems: makespan and performance of the resources. The presented algorithm is easy to implement, unlike Genetic Algorithms is fast enough to be used in a realistic scheduling, and is efficient. In addition, the information the strategy needs can be provided by any Grid Information Service, and its does not require the deployment of complex prediction services or service level agreement: it can work in any Grid

Keywords

[ Grid ] [ Biogridnet ] [ Tin2006-02806 ]

Contact

Eduardo Huedo
Ignacio M. Llorente

BibTex Reference

@InProceedings{LeHL08gada,
   Author = {Leal, K. and Huedo, E. and Llorente, I.M.},
   Title = {Dynamic Objective and Advance Scheduling in Federated Grids},
   BookTitle = {GADA 2008. OnTheMove Confederated International Conferences (OTM 2008)},
   Volume = {5331},
   Pages = {711--725},
   Series = {Lecture Notes in Computer Science},
   Publisher = {Springer},
   Year = {2008}
}

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