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

Harish Sheeranalli Venkatarama, Kandasamy Chandra Sekaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 2009
Pages648-659
Number of pages12
Publication statusPublished - 01-12-2009
Event4th Indian International Conference on Artificial Intelligence, IICAI 2009 - Tumkur, India
Duration: 16-12-200918-12-2009

Conference

Conference4th Indian International Conference on Artificial Intelligence, IICAI 2009
CountryIndia
CityTumkur
Period16-12-0918-12-09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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  • Cite this

    Venkatarama, H. S., & Sekaran, K. C. (2009). Simulation environment for maximizing profits in an autonomic computing system using fuzzy control. In Proceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 2009 (pp. 648-659)