Simulation environment for minimizing response time 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.issued2010
dc.description.abstracteCommerce is an area where an Autonomic Computing system could be very effectively deployed. eCommerce has created demand for high quality information technology services and businesses seek ways to improve the quality of service in a cost-effective way. Properly adjusting tuning parameters for best values is time-consuming and skills-intensive. This paper describes a simulation environment to implement an approach to automate the tuning of MaxClients parameter of Apache web server using a fuzzy controller and knowledge of the affect of the parameter on quality of service. This is an illustration of the self-optimizing characteristic of an autonomic computing system. � 2010 IEEE.en_US
dc.identifier.citationITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing, 2010, Vol., , pp.33-38en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/6996
dc.titleSimulation environment for minimizing response time in an autonomic computing system using fuzzy controlen_US
dc.typeBook chapteren_US

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