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An optimization-based adaptive resource management framework for economic Grids: A switching mechanism

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dc.contributor.author Haque, Aminul
dc.contributor.author Alhashmi, Saadat M.
dc.contributor.author Parthiban, Rajendran
dc.date.accessioned 2018-10-02T10:27:16Z
dc.date.accessioned 2019-05-27T09:57:07Z
dc.date.available 2018-10-02T10:27:16Z
dc.date.available 2019-05-27T09:57:07Z
dc.date.issued 2014-10-23
dc.identifier.uri http://hdl.handle.net/20.500.11948/3358
dc.description.abstract The application of Grid computing has been broadening day by day. An increasing number of users has led to the requirement of a job scheduling process, which can benefit them through optimizing their utility functions. On the other hand, resource providers are exploring strategies suitable for economically efficient resource allocation so that they can maximize their profit through satisfying more users. In such a scenario, economic-based resource management strategies (economic models) have been found to be compelling to satisfy both communities. However, existing research has identified that different economic models are suitable for different scenarios in Grid computing. The Grid application and resource models are typically very dynamic, making it challenging for a particular model for delivering stable performance all the time. In this work, our focus is to develop an adaptive resource management architecture capable of dealing with multiple models based on the models’ domains of strengths (DOS). Our preliminary results show promising outcomes if we consider multiple models rather than relying on a single model throughout the life cycle of a Grid. Full Text Link: https://doi.org/10.1016/j.future.2014.10.022 en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Grid computing en_US
dc.subject Economic models en_US
dc.subject Domains of strengths en_US
dc.subject Switching en_US
dc.subject Optimization en_US
dc.title An optimization-based adaptive resource management framework for economic Grids: A switching mechanism en_US
dc.type Article en_US


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