Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/6995
Title: Simulation environment for maximizing profits in an autonomic computing system using fuzzy control
Authors: Venkatarama, H.S.
Sekaran, K.C.
Issue Date: 2009
Citation: Proceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 2009, 2009, Vol., , pp.648-659
Abstract: eCommerce 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.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/6995
Appears in Collections:2. Conference Papers

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