As the Internet is changing from a communication and browsing infrastructure to a medium for conducting business, the web server performance becomes critical. The thesis focuses on new resource management approach of adaptive web architecture to improve performance of overloaded server. Content adaptation approach enhances server performance by selectively adapting content in accordance with server load conditions and QoS (Quality of Service) requirements. The thesis compares performance statistics such as throughput and response time of an overloaded traditional request Rejection web server vs. Content adaptation web server. Performance statistics have been gathered theoretically utilizing Open Queuing Network Model, as well as experimentally, implementing Adaptive web server. The thesis statistics show that content adaptation can be a potential solution to the web server overload problem as successful delivery of a less resource intensive content under overload is more desirable to clients than connection rejection or failures.

Pizza and soda will be served for those attending!