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 | |
| 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 | India |
| City | Kochi, Kerala |
| Period | 12-03-10 → 13-03-10 |
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All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Networks and Communications
- Software
Cite this
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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
ER -