Two-Call Index Based Internet Traffic Sharing Analysis in Case of Cyber Crime Environment of Computer Network

Modern web browsers allow web developers to create highly interactive websites which are highly user friendly. Web browser technology has come a long way since its inception although browser compatibility issues remain a concern. This generates problem for the users to choose one among different browsers for accessing information on a required subject. Analysis of browser Share problem was first undertaken by Shukla and Singhai (2011) and they succeed to derive the expression for browser sharing. In fact, this expression has probability based bounded area but definite integral could not solve the problem of estimation of bounded area. In this paper an attempt has been made to estimate total probability area lying under the curve. Mathematical modeling utilized the application of Simpson 3/8 rule in browser sharing phenomena. It is also established by the study that such bounded area possesses linear relationship with the browser failure probability.

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Internet Traffic Distribution Analysis in case of Multi-Operator and Multi-Market Environment of Computer Network

Gangele¹,

Patil²

2015

IJCA

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Internet is widely used across the world to serve many purposes by millions of people every minute. This has given rise to many fold increase in internet based service providers. The internet traffic shared between these service providers gets jammed due to heavy load on the network. Naldi (2002) discussed model based internet traffic share problem in a different way, based on the assumption of call-by-call basis. Further, this idea of call-by-call improved and transformed to two-call-basis by Shukla and Gadewar (2010) and enhanced results arrived. In this paper market based internet traffic share has been calculated in terms of quality of services, initial preferences and other network parameters. Traffic share expressions for different kind of operators have been derived and simulation study is performed. It is found that traffic share is highly correlated with the location of market and network blocking probability.

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Two-Call Index Based Internet Traffic Sharing Analysis in Case of Cyber Crime Environment of Computer Network

Cited by 3 publications

References 2 publications

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

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

Area Estimation for Web Browsing Performance of Users by Applying Numerical Method

Internet Traffic Distribution Analysis in case of Multi-Operator and Multi-Market Environment of Computer Network

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