Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
4 results
Search Results
Item Simulation environment for a fuzzy controller based Autonomic Computing system(2009) Harish, H.S.; Chandra Sekaran, K.C.eCommerce 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 costeffective 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. © 2008 IEEE.Item Simulation environment for maximizing profits in an autonomic computing system using fuzzy control(2009) Harish, H.S.; Chandra Sekaran, K.C.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.Item Simulation environment for minimizing response time in an autonomic computing system using fuzzy control(2010) Harish, H.S.; Chandra Sekaran, K.C.eCommerce 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.Item Minimizing response time in an autonomic computing system using proportional control(2010) Harish, H.S.; Chandra Sekaran, K.C.Ecommerce 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 are seeking quality of service guarantees from their service providers. These guarantees are expressed as part of service level agreements. Properly adjusting tuning parameters for enforcement of the service level agreement is time-consuming and skills-intensive. Moreover, in case of changes to the workload, the setting of the parameters may no longer be optimum. In an ecommerce system, where the workload changes frequently, there is a need to update the parameters at regular intervals. This paper describes an approach to automate the tuning of MaxClients parameter of Apache web server using a proportional controller based on the required response time and the current workload. This is an illustration of the self-optimizing characteristic of an autonomic computing system. © 2010 Springer-Verlag Berlin Heidelberg.