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Resource broker management by adopting self-adaptive multi-instance broker scheduling in grid computing


Yahaya, Bakri and Latip, Rohaya and Abdullah, Azizol and Othman, Mohamed (2014) Resource broker management by adopting self-adaptive multi-instance broker scheduling in grid computing. Journal of Computer Science, 10 (12). pp. 2553-2563. ISSN 1549-3636; ESSN: 1552-6607


A grid resource broker seeks to assign the appropriate jobs to the appropriate resources as part of resource management in the multi-grid environment. Multi instances of the broker system provides multiple instances of brokers to simultaneously process jobs between multiple resources in a hierarchical cluster grid environment. In this study, the multi-instance broker is developed using grid resource broker taxonomy properties. The number of broker instances to be used for each processing session is determined by calculating resources, computing power and workload. The Self-Adaptive Multi-Instance Broker Scheduling algorithm SAMiB was tested against iHLBA algorithm through four types of scenarios containing various mixes of background load and CPU speed. The SAMiB algorithm has achieved a decrease of 14.93% in makespan time for 2000 jobs, proving the suitability of the multi-instance broker concept for the hierarchical cluster grid environment.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.3844/jcssp.2014.2553.2563
Publisher: Science Publications
Keywords: Grid computing; Resource management; Grid broker; Multi-instance broker; Scheduling
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 31 Dec 2015 03:10
Last Modified: 31 Dec 2015 03:10
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3844/jcssp.2014.2553.2563
URI: http://psasir.upm.edu.my/id/eprint/35236
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