An Explanatory Analysis of Modeling and Management of Internet Traffic Sharing in Heterogeneous Computer Networks

Abstract

In today s scenario, Internet used as an effective resource for advertising and marketing newlineby the users in daily life. Generally, these kinds of services are managed by service newlineproviders. Owing to demands of same kind of services by the users, Internet traffic newlineload and traffic share of operators oscillated. A pioneering contribution developed a newlinerelationship between traffic share and network blocking probability with the supposition newlineof call-by-call basis. In this thesis market based Internet traffic share expressions newlinehas been derived in case of multi operator situation by using Markov chain model. newlineAn Internet browser is a rapidly developing technology, which has carried substantial newlinechanges and opportunities to numerous zone. Modern web browsers afford various supportive newlinefeatures and mostly utilize for revealing and accessing websites on the Internet. newlineMainly, when two browsers installed in a computer system, also produces a mathematical newlinerelationship between browser sharing and browser failure probability. Moreover, newlinePresent study is an attempt to afford an overview on a procedure of estimation for newlinebounded area lying under the curve with the help of Simpson s 1/3 rule. This will newlineoffer favorable circumstances for estimation procedure and display direct relationship newlinebetween browser share and browser failure probability. newlineMobile user s behavior is depending on the quality of services provided by mobile newlinetelephone operator and his marketing strategy. At the same time congestion of network newlineis a major factor in selection of SIM of a particular operator in the setup of newlinedual SIM environment. In this Thesis, a stochastic model of user behavior is proposed newlineunder dual SIM environment and a correlation concerning, mobile data traffic newlineSharing and congestion probability has been derived with the usage of Markov chain newlinemodel. Moreover, for the clarification of derived results, Simulation study has also newlinebeen implemented. Internet is widely used across the world to serve many purposes by newlinemillions of people every minute.