Performance modeling of an Apache web server with bursty arrival traffic

In English Performance modeling is an important topic in
capacity planning and overload control for web servers. We
present a queueing model of an Apache web server that uses
bursty arrival traffic. The arrivals of HTTP requests is
assumed to be a Markov Modulated Poisson Process and
the service discipline of the server is processor sharing. The
total number of requests that can be processed at one time is
limited to K. We obtain web server performance metrics
such as average response time, throughput and blocking
probability by simulations. Compared to other models, our
model is conceptually simple. The model has been validated
through measurements and simulations in our lab. The performance
metrics predicted by the model fit well to the
experimental outcome.