Simulation environment for minimizing response time in an autonomic computing system using fuzzy control

Harish S. Venkatarama; Kandasamy Chandra Sekaran

doi:10.1109/ITC.2010.87

Simulation environment for minimizing response time in an autonomic computing system using fuzzy control

Harish S. Venkatarama, Kandasamy Chandra Sekaran

Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	ITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing
Pages	33-38
Number of pages	6
DOIs	https://doi.org/10.1109/ITC.2010.87
Publication status	Published - 09-06-2010
Event	International Conference on Recent Trends in Information, Telecommunication, and Computing, ITC 2010 - Kochi, Kerala, India Duration: 12-03-2010 → 13-03-2010

Conference

Conference	International Conference on Recent Trends in Information, Telecommunication, and Computing, ITC 2010
Country/Territory	India
City	Kochi, Kerala
Period	12-03-10 → 13-03-10

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Networks and Communications
Software

Access to Document

10.1109/ITC.2010.87

Cite this

@inproceedings{cd9b8020fa884d3bb0755b2c57ba8661,

title = "Simulation environment for minimizing response time in an autonomic computing system using fuzzy control",

abstract = "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.",

author = "Venkatarama, {Harish S.} and Sekaran, {Kandasamy Chandra}",

year = "2010",

month = jun,

day = "9",

doi = "10.1109/ITC.2010.87",

language = "English",

isbn = "9780769539751",

pages = "33--38",

booktitle = "ITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing",

note = "International Conference on Recent Trends in Information, Telecommunication, and Computing, ITC 2010 ; Conference date: 12-03-2010 Through 13-03-2010",

}

Venkatarama, HS & Sekaran, KC 2010, Simulation environment for minimizing response time in an autonomic computing system using fuzzy control. in ITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing., 5460617, pp. 33-38, International Conference on Recent Trends in Information, Telecommunication, and Computing, ITC 2010, Kochi, Kerala, India, 12-03-10. https://doi.org/10.1109/ITC.2010.87

Simulation environment for minimizing response time in an autonomic computing system using fuzzy control. / Venkatarama, Harish S.; Sekaran, Kandasamy Chandra.

ITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing. 2010. p. 33-38 5460617.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Simulation environment for minimizing response time in an autonomic computing system using fuzzy control

AU - Venkatarama, Harish S.

AU - Sekaran, Kandasamy Chandra

PY - 2010/6/9

Y1 - 2010/6/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77953119293&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953119293&partnerID=8YFLogxK

U2 - 10.1109/ITC.2010.87

DO - 10.1109/ITC.2010.87

M3 - Conference contribution

AN - SCOPUS:77953119293

SN - 9780769539751

SP - 33

EP - 38

BT - ITC 2010 - 2010 International Conference on Recent Trends in Information, Telecommunication, and Computing

T2 - International Conference on Recent Trends in Information, Telecommunication, and Computing, ITC 2010

Y2 - 12 March 2010 through 13 March 2010

ER -

Simulation environment for minimizing response time in an autonomic computing system using fuzzy control

Abstract

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this