Analysis of Internet Traffic Distribution for User Behaviour Based Probability in Two-Market Environment
Consider two markets and two operators having different networks operators. Both operators are in competition for capturing more and more the internet traffic. The users have presumptive behavior like faithful, impatient and completely impatient. This paper presented Markov chain model based analysis of user behavior for selecting any one operator. It is found that blocking probability of network plays important role for determining the user's behavior towards choosing an operator as internet service provider. Also it contains analysis of initial share over the blocking probability varying probability of the rest-state.