State Probability Analysis of Internet Traffic Sharing in Computer Network

The Internet is a popular electronic tool to access information around the world. It is controlled by large group of network operators and local Internet service providers. The user is a last node of this network. Billions of people around the world are in the club of internet users at present. The growing demand beyond capability is causing congestion and blocking in networks. There is a kind of inherent competition among operators in market to catch-up more and more users. This paper presents Markov chain model based study of state probability in Internet traffic sharing assuming there are only two operators in a local market in competition. Their network blocking probabilities are mutually compared and simulation study is performed over varying model parameters. It is found that some specific type of users are affected much by networks blocking probability.