

Elasticity Analysis of Web Browsing Behavior of Users
There are many browsers available in the market but only a few are liked and used by many. Every browser has a predefined level of popularity in the market. This paper considers the setup of only two browsers installed in a computer system and a user prefers to any one of them and if fails, switches to the other one. Elasticties of browser sharing are derived, index formation and graphical study are performed to compare the simulated output.
Keywords
Markov Chains (MC), Transition Probability Matrix (TPM), Quality of Service (QOS), Browser Failure (BF).
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