CFP last date
20 December 2024
Reseach Article

Degrees Reconfiguration of Virtual Network Topology based on Traffic Matrices

Published on None 2011 by S.Suresh, Renukadevi S
Computational Science - New Dimensions & Perspectives
Foundation of Computer Science USA
NCCSE - Number 1
None 2011
Authors: S.Suresh, Renukadevi S
3ac9318a-2db9-4fff-a2d6-38603a4d8113

S.Suresh, Renukadevi S . Degrees Reconfiguration of Virtual Network Topology based on Traffic Matrices. Computational Science - New Dimensions & Perspectives. NCCSE, 1 (None 2011), 19-25.

@article{
author = { S.Suresh, Renukadevi S },
title = { Degrees Reconfiguration of Virtual Network Topology based on Traffic Matrices },
journal = { Computational Science - New Dimensions & Perspectives },
issue_date = { None 2011 },
volume = { NCCSE },
number = { 1 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 19-25 },
numpages = 7,
url = { /specialissues/nccse/number1/1853-155/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Computational Science - New Dimensions & Perspectives
%A S.Suresh
%A Renukadevi S
%T Degrees Reconfiguration of Virtual Network Topology based on Traffic Matrices
%J Computational Science - New Dimensions & Perspectives
%@ 0975-8887
%V NCCSE
%N 1
%P 19-25
%D 2011
%I International Journal of Computer Applications
Abstract

In entire network data is transmitted from source to destination by VNT. Dynamic virtual network topology(VNT) reconfiguration method for internet protocol over tomogravity method under traffic matrix. While transmission the traffic will occur to reach the destination. These traffic matrix include the estimation errors. Estimation can be measure by load in each link. Estimation errors will degrade the performance of traffic engineering. A traffic matrix is required to design, plan, and manage telecommunication network. Instead of doing VNT reconfiguration at once have to divide VNT reconfiguration at multiple stages. By dividing, the error can be reduced at each stage.

References
  1. A. Feldmann, A. Greenberg, C. Lund, N. Reingold, J. Rexford, and F. True, “Deriving traffic demands for operational ip networks: methodology and experience,” In Proc. ACM SIGCOMM, Aug 2000.
  2. Y. Vardi, “Network tomography: Estimating source-destination traffic intensities from link data,” J. Amer Stat Assoc, pp. 365–377, 1996.
  3. D. Lam, D. Cox, and J. Widom, “Teletraffic modeling for personal communications services,” IEEE Communications Magazine: Special Issues on Teletraffic Modeling Engineering and Management in Wireless and Broadband Networks, 35, pp. 79–87, February 1997.
  4. J. Kowalski and B. Warfield, “Modeling traffic demand between nodes in a telecommunications network,” in ATNAC’95, 1995.
  5. L. Zhang, K. Lee, and C.-H. Youn, “Adaptive virtual topology reconfiguration policy employing multi-stage traffic prediction in optical Internet,” in Proc. Workshop High Perform. Switching Routing, May 2002, pp. 26–29.
  6. K. Shiomoto, E. Oki, W. Imajuku, S. Okamoto, and N. Yamanaka, “Distributed virtual network topology control mechanism in GMPLSbased multiregion networks,” IEEE J. Sel. Areas Commun., vol. 21, no. 8, pp. 1254–1262, Oct. 2003.
  7. A. Gencata and B. Mukherjee, “Virtual-topology adaptation for WDM mesh networks under dynamic traffic,” IEEE/ACM Trans. Netw., vol.11, no. 5, pp. 236–247, Oct. 2003.
  8. B. Mukherjee, D. Banerjee, S. Ramamurthy, and A. Mukherjee, “Some principles for designing a wide-area WDM optical network,” IEEE/ACM Trans. Netw., vol. 4, no. 5, pp. 684–696, Oct. 1996.
  9. C. Tebaldi and M. West, “Bayesian inference on network traffic using link count data,” J. Amer. Statist. Assoc, 93, pp. 557–576, 1998.
  10. J. Cao, D. Davis, S. V. Wiel, and B. Yu, “Time-varying network tomography,” J. Amer. Statist. Assoc, 95, pp. 1063–1075, 2000.
  11. A. Adams, T. Bu, R. C´aceres, N. Duffield, T. Friedman, J. Horowitz, F. L. Presti, S. Moon, V. Paxson, and D. Towsley, “The use of end-to-end multicast measurements for characterizing internal network behavior,” IEEE Communications Magazine, May 2000.
  12. M. Coates, A. Hero, R. Nowak, and B. Yu, “Internet tomography,” IEEE Signal Processing Magazine, May 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Internet Protocol(IP) Traffic matrix Virtual network topology(VNT) Link loads Traffic engineering