Elasticity Variation Under Rest State Environment in Case of Internet Traffic Sharing in Computer Network
The traffic sharing problem was introduced by Naldi (2002) in the form of a probability model using Markov Chains. This model was extended by Shukla and Thakur (2010) by introducing a rest state. The importance of new state was that user does not leave to the place of working and remains available for connectivity attempts. This paper extends the earlier approach of Shukla (2010) and examines the effect of elasticity on the blocking probability in computer network. Simulation study is used as a tool for measuring effect of varying model parameters on the elasticity variance.