Linear Regression Model Fitting and Implication to Self Similar Behavior Traffic Arrival Data Pattern at Web Centers
D. Mallikarjuna Reddy, Pushpalatha Sarla · IOSR Journal of Computer Engineering · 2017
We present a simple linear regression model fit in the direction of self-similarity behavior of internet user's arrival data pattern.It has been reported that Internet traffic exhibits self-similarity.Motivated by this fact, real time internet users arrival patterns considered as traffic and the results carried out and proven that it has the self-similar nature by various Hurst index methods.The present study provides a mathematical model equation in terms linear regression as a tool to predict the arrival pattern of Internet users data at web centers.Numerical results, analysis discussed and presented here plays a significant role in improvement of the services and forecasting analysis of arrival protocols at web centers in the view of quality of service (QOS).