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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenping Pan Dejun Mu Hangxing Wu Qilu Sun |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Autom., Northwestern Polytech. Univ., Xi'an (Wenping Pan; Dejun Mu; Hangxing Wu; Qilu Sun) |
| Abstract | As more and more business applications become Web-enabled, service differentiation becomes an important issue for database-driven e-commerce Websites to meet different requirements of clients. This paper presents a feedback control approach to provide proportional delay differentiation (PDD) service in Web application servers handling dynamic HTTP requests. To achieve this goal, an approximate linear time-invariant model of the database connection pool (DBCP) in Web application servers is identified experimentally and used to design a proportional-integral (PI) controller. At each sampling time, the controller can dynamically calculate and adjust the probabilities for different classes of dynamic requests to get idle database connections in the next sampling period, according to the error between the measured delay ratio and the reference value. Three kinds of workloads, which follow deterministic, uniform and heavy-tailed distributions respectively, are designed to evaluate the performance of the closed-loop system. Experiment results indicate the controller is effective in handling varying workloads, and PDD can be achieved in the DBCP even if the number of concurrent dynamic requests changes abruptly under different kinds of workloads. |
| Starting Page | 600 |
| Ending Page | 604 |
| File Size | 312074 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769532905 |
| DOI | 10.1109/CCCM.2008.195 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-03 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feedback Control Databases Artificial neural networks Quality of service Web Application Server Service Differentiation Time measurement Servers Web server Delay |
| Content Type | Text |
| Resource Type | Article |
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