Autonomic computing: A fuzzy control approach towards application development

Harish S. Venkatarama, Kandasamy Chandra Sekaran

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Autonomic computing (Salehie & Tahvildari, 2005) is a new paradigm to design, develop, deploy, and manage systems by taking inspiration from strategies used by biological systems. An autonomic system has four major characteristics: self-configure, self-heal, self-optimize, and self-protect. The autonomic computing architecture provides a blueprint for developing feedback control loops for self-managing systems. This observation suggests that control theory might provide guidance as to the structure of and requirements for autonomic managers. E-commerce is an area where an Autonomic Computing system could be very effectively deployed. E-commerce 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 chapter describes simulation environments to implement approaches to automate the tuning of MaxClients parameter of Apache web server using fuzzy controllers. These are illustrations of the self-optimizing characteristic of an autonomic computing system.

Original languageEnglish
Title of host publicationFormal and Practical Aspects of Autonomic Computing and Networking
Subtitle of host publicationSpecification, Development, and Verification
PublisherIGI Global Publishing
Pages118-134
Number of pages17
ISBN (Print)9781609608453
DOIs
Publication statusPublished - 01-12-2011

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Venkatarama, H. S., & Chandra Sekaran, K. (2011). Autonomic computing: A fuzzy control approach towards application development. In Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development, and Verification (pp. 118-134). IGI Global Publishing. https://doi.org/10.4018/978-1-60960-845-3.ch005