CFP last date
20 December 2024
Reseach Article

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

by Sharad Gangele, Sunil Patil
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 4
Year of Publication: 2015
Authors: Sharad Gangele, Sunil Patil
10.5120/ijca2015906861

Sharad Gangele, Sunil Patil . Internet Traffic Distribution Analysis in case of Multi-Operator and Multi-Market Environment of Computer Network. International Journal of Computer Applications. 130, 4 ( November 2015), 29-36. DOI=10.5120/ijca2015906861

@article{ 10.5120/ijca2015906861,
author = { Sharad Gangele, Sunil Patil },
title = { Internet Traffic Distribution Analysis in case of Multi-Operator and Multi-Market Environment of Computer Network },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 4 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number4/23199-2015906861/ },
doi = { 10.5120/ijca2015906861 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:24:29.113868+05:30
%A Sharad Gangele
%A Sunil Patil
%T Internet Traffic Distribution Analysis in case of Multi-Operator and Multi-Market Environment of Computer Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 4
%P 29-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. K. Park, W. Willinger, “Self-Similar Network Traffic and Performance Evaluation”, New York: John Wiley & Sons Inc., 2000
  2. M. Naldi, “Internet Access Traffic Sharing in A Multi-user Environment”, Computer Networks, 38(6):809-824,2002
  3. D. Shukla and Gadewar, S.,“Stochastic Model for Cell Movement in a Knockout Switch in Computer Networks”, Journal of High S`peed Network, 16(3):310-332, 2007
  4. J. Medhi, “Stochastic Processes”, Ed. 4, Wiley Eastern Limited (Fourth reprint), New Delhi ,1992
  5. Shukla, D. Gadewar, S. Pathak, R.K. ,“A Stochastic Model for Space-Division Switches in Computer Networks”, Applied Mathematics and Computation (Elsevier Journal), 184(2):235-269, 2007
  6. 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
  7. Antal, C., Molnar, S. and Szabo, G.,“Performance Study of Distributed Channel Allocation Techniques For a Fast Circuit Switched Network”, Computer Communications, 21(17):1587-1609,1998
  8. 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
  9. Agarwal, Rinkle and Kaur, Lakhwinder, “On Reliability Analysis of Fault-Tolerant Multistage Interconnection Networks”, International Journal of Computer Science and Security (IJCSS),2(4):1-8,2008
  10. Catledge, L. D. and Pitkow J.E.,“Characterizing browsing strategies in the World Wide Web”, Computer Networks and ISDN Systems,27 (6):1065-1073,1995
  11. Tiwari, Virendra, Thakur, Sanjay and Shukla, D.,“Cyber Crime Analysis For Multi-Dimensional Effect In Computer Network”, Journal of Global Research in Computer Science,1(4): 31-37,2010
  12. M. Naldi, “Measurement based modelling of Internet Dial-up Access Connections ”,Computer Networks,31(22):2381-2390,1999
  13. Shukla, D., Thakur, Sanjay,“State Probability Analysis of Users in Internet between Two Operators”, International Journal of Advanced Networking and Applications (IJANA),1(2):90-95,2009
  14. Shukla, D.,Gadewar, S. Pathak, R.K., “A Stochastic Model for Space-Division Switches in Computer Networks”,Applied Mathematics and Computation (Elsevier Journal),184(2):235-269,2007
  15. Shukla, D.,Gadewar, “Stochastic Model for Internet Traffic Sharing”, National conference on research and development trend in ICT,pp.222-244,13 Feb 2010
  16. Shukla, D. and Singhai, Rahul, “Analysis Of User Web Browsing Behaviour Using Markov Chain Model”, International Journal of Advanced Networking and Application (IJANA),2(5):824-830,2011
  17. Shukla, D.,Gangele, Sharad, Singhai, R., Verma, Kapil, “Elasticity Analysis of Web-Browsing Behaviour of Users, International Journal of Advanced Networking and Application(IJANA), 3(3):1162-1168,2011
  18. Shukla, D., Verma, Kapil and Gangele, Sharad,“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. Gangele,Sharad, 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
  20. Gangele,Sharad,Dongre,Ashish, “Probability Density Estimation Function of Browser Share Curve for Users Web Browser Behaviour, International Journal of Engineering Research and Development,10(6):31-41, 2014
  21. Gangele, Sharad, Dongre,Ashish, “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
  22. Gangele, Sharad,“An Approach for Area Estimation towards Conjunction Control of Internet Traffic Sharing by Using Simpson 1/3ed Rule”, International Journal of Engineering Trend and Technology, 16(2):88-99,2014
  23. Shukla, D., Verma, Kapil and Gangele, Sharad, “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
  24. Shukla, D., Verma, Kapil and Gangele, Sharad, “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
Index Terms

Computer Science
Information Sciences

Keywords

Traffic Share Analysis (TSA) Two Call Basis (TCB) Transition Probability Matrix (TPM) Markov Chain Model (MCM)