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Session Based Admission Control for Web QoS

We measure server throughput as a number of successfully completed sessions. Using a simulation model, we show that an overloaded web server can experience a severe loss of throughput measured as a number of completed sessions comparing against the server throughput measured in requests per second. Moreover, statistical analysis of completed sessions reveals that the overloaded web server discriminates against longer sessions. For e-commerce retail sites, longer sessions are typically the ones that would result in purchases.

We introduce a session based admission control (SBAC) to prevent a web server from becoming overloaded and to ensure that longer sessions can be completed. We show that a web server augmented with the admission control mechanism is able to provide a fair guarantee of completion, for any accepted session, independent of a session length. This provides a predictable and controllable platform for web applications, and is a critical requirement for any e-business.

We propose two new admission control strategies: hybrid and predictive, aiming to optimize the performance of SBAC mechanism.

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