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Share Loss Analysis of Internet Traffic Distribution in Computer Networks
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International Journal of Computer Science and Security (IJCSS)
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Volume:  3    Issue:  5
Pages:  334-447
Publication Date:   November 2009
ISSN (Online): 1985-1553
Pages 
414 - 426
Author(s)  
 
Published Date   
16-10-2009 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Markov chain model, Call-by-call basis, Internet service providers [op, Quality of service (QoS), Transition probability matrix, Transition probability, Blocking probability 
 
 
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In present days, the Internet is one of the most required tools of getting information and communicating data. A large number of users through out the world are joining the family of internet in huge proportion. At the same time commercial groups of Internet service provider are also growing in the market. Networks are being overloaded in terms of their capacity and probability of blocking being high day-by-day. This paper presents a share loss analysis of internet traffic when two operators are in competition in respect of quality of service in two markets. The analysis is performed by drawing Iso-share curves through a Markov chain model. The effected over initial traffic share (when final fixed) is examined through simulation study. It is found that network blocking probability highly affects to the initial share amount of traffic of a network operator.  
 
 
 
1 Abuagla Babiker Mohd and Dr. Sulaiman bin Mohd Nor “Towards a Flow-based Internet Traffic Classification for Bandwidth Optimization”, International Journal of Computer Science and Security (IJCSS), 3(2):146-153, 2009
2 Ankur Agarwal “System-Level Modeling of a Network-on-Chip”, International Journal of Computer Science and Security (IJCSS), 3(3):154-174, 2009.
3 C. Yeian, and J. Lygeres,. “Stabilization of a class of stochastic differential equations with markovian switching, System and Control Letters”, issue 9:819-833, 2005.
4 D. Shukla, S. Gadewar and R.K. Pathak “A Stochastic model for Space division switiches in Computer Networks”, International Journal of Applied Mathematics and Computation, Elsevier Journals, 184(2): 235-269, 2007.
5 D. Shukla, Saurabh Jain, Rahul Singhai and R.K. Agarwal “A Markov Chain model for the analysis of Round Robin Scheduling Scheme”, International Journal of Advanced Networking and Applications (IJANA), 01(01):01-07, 2009.
6 D. Shukla, R.K. Pathak and Sanjay Thakur “Analysis of Internet traffic distribution between two markets using a Markov chain model in computer networks”, Proceedings of National Conference on Network Security and Management (NCSM-07), pp. 142- 153, 2007.
7 D. Shukla and Sanjay Thakur, “Crime based user analysis in Internet traffic sharing under cyber crime”, Proceedings of National Conference on Network Security and Management (NCSM-07), pp. 155-165, 2007.
8 D. Shukla and Sanjay Thakur, “Crime based user analysis in Internet traffic sharing under cyber crime”, Proceedings of National Conference on Network Security and Management (NCSM-07), pp. 155-165, 2007.
9 D. Shukla and Sanjay Thakur, “Rest state analysis in Internet traffic sharing under a Markov chain model”, Proceedings of 2nd National Conference on Computer Science & Information Technology, pp. 46-52, 2008.
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13 M. Naldi, “Internet Access Traffic Sharing in A Multi-user Environment”, Computer Networks, 38:809-824, 2002.
14 M. Newby and R. Dagg, “ Optical inspection and maintenance for stochastically deteriorating systems: average cost criteria”, Jour. Ind. Stat. Asso., 40(2):169-198, 2002
15 Rinkle Aggarwal and Dr. Lakhwinder Kaur “On Reliability Analysis of Fault-tolerant Multistage Interconnection Networks “, International Journal of Computer Science and Security (IJCSS), 2(4):01-08, 2008.
 
 
 
1 D. Shukla, S. Ojha and S. Jain, “Effect of Data Model Approach in State Probability Analysis of Multi-Level Queue Scheduling”, Int. J. of Advanced Networking and Application, 02(01), pp. 419-427, 2010.
2 D. Shukla and R. Singhai, “Analysis of Users Web Browsing Behavior Using Markov chain Model”, Int. J. Advanced Networking and Applications, 02(05), pp. 824-830, 2011.
3 D. Shukla and A. Jain, “Estimation of Ready Queue Processing Time Under Systematic Lottery Scheduling Scheme”, International Journal of Computer Science and Security (IJCSS), 4(1), pp. 74 – 81, 2010.
4 V. K.r Tiwari, S. Thakur and D. Shukla, “Analysis of Internet Traffic Distribution for User Behaviour based Probability in Two-Market Environment”, International Journal of Computer Applications, 30(8), pp. 44-51, 2011.
5 S. Saxena , A. S. Pandya , R. Stone , S. Rajput and S. Hsu, “Knowledge Discovery Through Data Visualization Of Drive Test Data”, International Journal of Computer Science and Security (IJCSS), 3(6), pp. 559 – 568, 2010.
6 V. K. Tiwari, S. Thakur and D. Shukla. “Analysis of Internet Traffic Distribution for User Behavior based Probability in Two-Market Environment”. International Journal of Computer Applications, 29(8), pp. 44-51, 2011.
7 D. Shukla, S. Gangele, K. Verma and M. Trivedi, “Two-Call Based Cyber Crime Elasticity Analysis of Internet Traffic Sharing In Computer Network”, International Journal of Computer Application , 2(1), pp. 27-38, 2011.
 
 
 
1 TechRepublic
 
2 Academia.edu
 
3 ZDNet
 
4 Department of Computer Science & Application, Dr. Hari Singh Gour Central University
 
 
 
Diwakar Shukla : Colleagues
Virendra kumar Tiwari : Colleagues
Sanjay Thakur : Colleagues
Arvind Kumar Deshmukh : Colleagues  
 
 
 
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