Optimizing Quality of Service Using Fuzzy Control
The rapid growth of eCommerce increasingly means busi- ness revenues depend on providing good quality of service (QoS) for web site interactions. Traditionally, system administrators have been respon- sible for optimizing tuning parameters, a process that is time-consuming and skills-intensive, and...
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| creator | Diao, Yixin Hellerstein, Joseph L. Parekh, Sujay |
| description | The rapid growth of eCommerce increasingly means busi- ness revenues depend on providing good quality of service (QoS) for web site interactions. Traditionally, system administrators have been respon- sible for optimizing tuning parameters, a process that is time-consuming and skills-intensive, and therefore high cost. This paper describes an ap- proach to automating parameter tuning using a fuzzy controller that employs rules incorporating qualitative knowledge of the effect of tuning parameters. An example of such qualitative knowledge in the Apache web server is “MaxClients has a concave upward effect on response times.” Our studies using a real Apache web server suggest that such a scheme can improve performance without human intervention. Further, we show that the controller can automatically adapt to changes in workloads. |
| doi_str_mv | 10.1007/3-540-36110-3_7 |
| format | Book Chapter |
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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2002, Vol.2506, p.42-53 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_14573765 |
| source | Springer Books |
| subjects | Applied sciences Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology Fuzzy Control Fuzzy Controller Fuzzy Rule Response Time Software Tuning Parameter |
| title | Optimizing Quality of Service Using Fuzzy Control |
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