Load Balancing in Partner-Based Scheduling Algorithm for Grid Workflow

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dc.contributor.authorRoman, Muhammad
dc.contributor.authorAshraf, Jawad
dc.contributor.authorHabib, Asad
dc.contributor.authorAli, Gohar
dc.date.accessioned2024-10-29T14:58:33Z
dc.date.available2024-10-29T14:58:33Z
dc.date.issued2016
dc.description.abstractAutomated advance reservation has the potential to ensure a good scheduling solution in computational Grids. To improve global throughput of Grid system and enhance resource utilization, workload has to be distributed among the resources of the Grid evenly. This paper discusses the problem of load distribution and resource utilization in heterogeneous Grids in advance reservation environment. We have proposed an extension of Partner Based Dynamic Critical Path for Grids algorithm named Balanced Partner Based Dynamic Critical Path for Grids (B-PDCPG) that incorporates a hybrid and threshold based mechanism to achieve load balancing to an allowed value of variation in workload among the resources in Partner Based Dynamic Critical Path for Grids algorithm. The proposed load balancing technique uses Utilization Profiles to store the reservation details and check the loads from these profiles on each of the resources and links. The load is distributed among resources based on the processing element capacity and number of processing units on resources. The simulation results, using Gridsim simulation engine, show that the proposed technique has balanced the workload very effectively and has provided better utilization of resources while decreasing the workflow makespan.
dc.funderNo external funder
dc.identifier.citationRoman, M. et al. (2016) Load Balancing in Partner-Based Scheduling Algorithm for Grid Workflow. International Journal of Advanced Computer Science and Applications(ijacsa), 7 (5)
dc.identifier.doihttps://doi.org/10.14569/IJACSA.2016.070560
dc.identifier.issn2156-5570
dc.identifier.issn2158-107X
dc.identifier.urihttps://hdl.handle.net/2086/24414
dc.publisherThe Science and Information Organization
dc.relation.ispartofInternational Journal of Advanced Computer Science and Applications
dc.titleLoad Balancing in Partner-Based Scheduling Algorithm for Grid Workflow
dc.typeArticle
oaire.citation.issue5
oaire.citation.volume7

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