Review on Internet Traffic Sharing Using Markov Chain Model in Computer Network

The Internet traffic sharing is one of the major concerns in the dynamic field of Information and communications technology (ICT). In this scenario the concept of Big Data arises which defines the unstructured nature of data so that there is a strong need of efficient techniques to tackle this heterogeneous type of environment. Many things are dependent on Internet today, and a person has a lot of work to be done with the help of Internet. Due to this problems arise like congestion, disconnectivity, non-connectivity, call drop, and cyber crime. This review study is for the analysis purpose of all this type of problems. Various kinds of methods are discussed based upon the problem formation of Internet access and their respected solutions are discovered with the help of Markov chain model. This model is used to study about how the quality of service is obtained and the traffic share is distributed among the operators on the basis of state probability, share loss analysis, call-by-call attempt, two-call attempt, two market, disconnectivity, index, iso-share curve, elasticity, cyber crime, re-attempt, least square curve fitting, bounded area, area estimation and computation, Rest state, and multi-operator environment.