Markov Model for Internet Traffic Sharing Analysis with Unique Conception of Rest State in Multi-Market Environment

Authors

  • Sunil Patil  Assistant Professor, Department of Computer Science & Engineering, Vedica Institute of Technology , R.K.D.F. University, Bhopal, MP, India
  • Dr. Sharad Gangele  Professor, Department of Computer Science, R.K.D.F. University, Bhopal, MP, India

Keywords:

Markov Model, Internet Traffic Share, Network Blocking, User Behaviour, Rest State

Abstract

In today's scenario internet used as an effective resource for advertising and marketing by the users in daily life. Generally, these kinds of services are managed by service providers. Owing to demands of same kind of services by the users, internet traffic load and traffic share of operators oscillated. Naldi(2002) made a pioneering contribution to the model based internet traffic share problem and developed a relationship between traffic share and network blocking probability with the supposition of call-by-call basis, Further this suggestion improved in two-call-basis with a special reference of rest state based analysis by Shukla, Tiwari, Thakur and Deshmukh(2010). In this paper market based internet traffic share expressions has been derived in case of multi operator situation by using markov chain model. However, relatively few studies have taken into consideration on effect of rest state on traffic share of operators. In addition, simulation studies have also been focused to analyze the supporting results. Herein, we found that marketing plan like rest state inclusion has the potential to enhance the traffic proportion of operators in multi-market environment.

References

  1. Altman, E., Avrachenkov, A. and Brakat, C.,“TCP Network Calculus: The Case of Large Delay-Bandwidth Product”, IEEE Conference on Computer Communications, 21(1):417-426,2002
  2. Dorea C. C., Cruz Y., and Rojas J.A., “Approximation results for non-homogeneous Markov chains and some applications, Sankhya,66(2):243-252,2004
  3. Gangele, S. and  Dongre ,A., “Two-call index based internet traffic sharing analysis in case of cyber crime environment of computer network”, International Journal of Engineering Trend and Technology,13(6):271-280, 2014
  4. Gangele, S. and Patil, S. “Internet Traffic Distribution Analysis in case of Multi-Operator and Multi-Market Environment of Computer Network” ,International Journal of Computer Application,130(4): 29-36,2015
  5. Gangele, S., Shukla, D., “Area Computation of Internet Traffic Share Problem With Special Reference to Cyber Crime Environment”, International Journal of Computer Networks and Wireless Communication, 4(3):208-219, 2014 
  6. Hambali, H. and Ramani, A. K., “A performance study of at multicast switch with different traffics”, Malaysian Journal of Computer Science, 15(2): 34-42,2002
  7. Koetter. R. and Medard, M., “An algebraic approach to network coding”, IEEE/ACM Transaction on Networking ,11(5):782-795,2003
  8. M. Naldi, “Internet Access Traffic Sharing in a Multi-operator Environment”, Computer Networks, 38(6):809-824,2002
  9. M. Naldi, “Measurement based Modelling of Internet Dial-up Access Connections”,Computer Networks, 31(22):2381-2390,1999
  10. Newby, M. and Dagg, R.,“Optical inspection and maintenance for stochastically deteriorating systems: average cost criteria”, Jour. Ind. Statistical Associations, 40(2):169-198,2002
  11. Park K. and Willinger W., “Self-Similar Network Traffic and Performance Evaluation”, New York: John Wiley & Sons Inc., 2000
  12. Perzen E., “Stochastic Processes”, Holden-Day, Inc., San Francisco, and California,1992
  13. Shukla ,D. and Gadewar, S.,“Stochastic Model for Cell Movement in a Knockout Switch in Computer Networks”, Journal of High Speed Network, 16(3):310-332, 2007
  14. Shukla, D. and Singhai, R., “Analysis Of User Web Browsing Behaviour Using Markov Chain Model”, International Journal of Advanced Networking and Application (IJANA),2(5):824-830,2011
  15. Shukla, D. and Thakur, S. ,“State Probability Analysis of Internet Traffic sharing  in Computer Network”, International Journal of Advanced Networking and Applications (IJANA),1(2):90-95,2009
  16. Shukla, D., Gangele, S., Singhai, R. and Verma, K.,“Elasticity Analysis of Web-Browsing  Behaviour of  Users, International Journal of Advanced Networking and Application(IJANA), 3(3):1162-1168,2011
  17. Shukla, D., Tiwari,V.,Thakur, S. and Deshmukh, A., “ Two Call based  Analysis of Internet Traffic Sharing”, International Journal of Computer and Engineering ,1(1):14-24,2010
  18. Shukla, D., Verma, K. and Gangele, S. ,“Curve Fitting Approximation In Internet Traffic Distribution In Computer Network In Two Market Environment”, International Journal of Computer Science and Information Security (IJCSIS),10(5):71-78,2012
  19. Shukla, D., Verma, K. and Gangele, S., “Approximating the Probability of Traffic Sharing by Numerical Analysis Techniques between Two Operators in a Computer Network”, American Journal of Computer Science and Information Technology,3(1):26-39,2015
  20. Shukla, D., Verma, K. and Gangele, S., “Bounded Area Estimation Using Simpson 3/8 Rule in Traffic Share Scenario in Computer Network” International Journal of Computer And Communication System Engineering,1(4):119-125,2015

Downloads

Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Sunil Patil, Dr. Sharad Gangele, " Markov Model for Internet Traffic Sharing Analysis with Unique Conception of Rest State in Multi-Market Environment, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.1356-1368 , March-April-2016.