Maximizing Profit in an Autonomic Computing System: A Fuzzy Control approach

Venkatarama, Harish S and Sekaran, Chandra K (2009) Maximizing Profit in an Autonomic Computing System: A Fuzzy Control approach. International Journal of Recent Trends in Engineering, 2 (1). pp. 73-78.

[img] PDF
Maximizing_profit_in_an_Autonomic_Computing_System_A_Fuzzy_Control_approach.pdf - Published Version
Restricted to Repository staff only

Download (323kB) | Request a copy
Official URL: http://academic.research.microsoft.com/Publication...

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 on system capacity and workload. This paper describes an approach to automate the admission control decisions in an Apache web server for maximizing profit. A fuzzy controller that implements hill climbing logic is used. This is an illustration of the self-optimizing characteristic of an autonomic computing system.

Item Type: Article
Uncontrolled Keywords: autonomic computing, fuzzy control
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: ePrints@MU Administrator
Date Deposited: 27 May 2011 04:27
Last Modified: 09 Jun 2011 10:40
URI: http://eprints.manipal.edu/id/eprint/60

Actions (login required)

View Item View Item