CACT 
Gbenga
Olowoeye
BSEE, University of Massachusetts Lowell, 1996 MSEE, University of Massachusetts Lowell, 2000 Work: Telular Networks, R&D, Hauppauge, New York. Thesis Title: Workload Models for HTTP Servers Abstract In this thesis, workload models for HTTP servers are developed. The analysis of traffic measurements made at the University of Massachusetts Lowell and Ohio State University campus connection to the Internet form the basis for this model. The HTTP client packet count traffic is shown to exhibit a slowly varying mean trend which contributes to the slow decay rate in the normalized autocovariance function. A finitestate discretetime Markov chain is used to model the mean variation. The short range correlations are captured using a dynamic autoregressive process, where the AR parameters and residual error variance are a function of the state of the Markov chain. The combination of these fast and slow time scale processes are shown to adequately capture the first and second moments, the probability distribution function and correlation statistics of the packet count timeseries. The proposed model also performs favorably in infinite and finite buffer queues. The HTTP packet count model is also used in a regression model to estimate the number of HTTP bytes generated by the campus clients.
