Simulation environment for maximizing profits in an autonomic computing system using fuzzy control

dc.contributor.authorVenkatarama, H.S.
dc.contributor.authorSekaran, K.C.
dc.date.accessioned2020-03-30T09:46:35Z
dc.date.available2020-03-30T09:46:35Z
dc.date.issued2009
dc.description.abstracteCommerce is an area where an Autonomic Computing system could be very effectively deployed. The growth of eCommerce has created demand for services with financial incentives for service providers. Revenues accrue if the admitted requests are processed within the specified deadline and costs are incurred if the admitted requests are not processed within the deadline. The number of requests to be admitted depends oil system capacity and workload. This paper describes a simulation environment to implement an approach to automate the admission control decisions in an Apache web server for maximizing profits. A fuzzy controller that implements hill climbing logic is used. This is an illustration of the self-optimizing characteristic of an autonomic computing system. Copyright � 2009 by IICAI.en_US
dc.identifier.citationProceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 2009, 2009, Vol., , pp.648-659en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/6995
dc.titleSimulation environment for maximizing profits in an autonomic computing system using fuzzy controlen_US
dc.typeBook chapteren_US

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