Open Access Open Access  Restricted Access Subscription Access

Elasticity Analysis of Web Browsing Behavior of Users


Affiliations
1 Department of Mathematics and Statistics, Sagar University, Sagar-470003, M. P., India
2 Department of Computer Science, M.P. Bhoj (Open) University, Kolar Road, Bhopal, M. P., India
3 International Institute of Professional Studies, Devi Ahilya University, Indore, (M.P.), India
4 Department of Computer Science, M.P. Bhoj (Open) University, Kolar Road, Bhopal, M.P., India
 

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).
User
Notifications
Font Size

Abstract Views: 139

PDF Views: 0




  • Elasticity Analysis of Web Browsing Behavior of Users

Abstract Views: 139  |  PDF Views: 0

Authors

Diwakar Shukla
Department of Mathematics and Statistics, Sagar University, Sagar-470003, M. P., India
Sharad Gangele
Department of Computer Science, M.P. Bhoj (Open) University, Kolar Road, Bhopal, M. P., India
Rahul Singhai
International Institute of Professional Studies, Devi Ahilya University, Indore, (M.P.), India
Kapil Verma
Department of Computer Science, M.P. Bhoj (Open) University, Kolar Road, Bhopal, M.P., India

Abstract


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).