Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31105
Bi-Criteria Latency Optimization of Intra-and Inter-Autonomous System Traffic Engineering

Authors: K. Vidya, V.Rhymend Uthariaraj


Traffic Engineering (TE) is the process of controlling how traffic flows through a network in order to facilitate efficient and reliable network operations while simultaneously optimizing network resource utilization and traffic performance. TE improves the management of data traffic within a network and provides the better utilization of network resources. Many research works considers intra and inter Traffic Engineering separately. But in reality one influences the other. Hence the effective network performances of both inter and intra Autonomous Systems (AS) are not optimized properly. To achieve a better Joint Optimization of both Intra and Inter AS TE, we propose a joint Optimization technique by considering intra-AS features during inter – AS TE and vice versa. This work considers the important criterion say latency within an AS and between ASes. and proposes a Bi-Criteria Latency optimization model. Hence an overall network performance can be improved by considering this jointoptimization technique in terms of Latency.

Keywords: Traffic Engineering, Measurement, Inter-Domain Routing, OptimizationPerformance

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1189


[1] Kin-Hon Ho, Michael Howarth, Ning Wang, George Pavlou and Stylianos Georgoulas, "Joint Optimization of intra- and inter-AS Traffic Engineering", IEEE Communication Magazine, 2006
[2] D. Awduchi et al., "Overview and principles of Internet traffic Engineering", IETF RFC 3272, May 2002.
[3] B. Quoitin et al., " Inter-Domain Traffic Engineering with BGP," IEEE Communication Magazine, May 2003.
[4] Matthew Mathis, Jeffrey Semke, JAmshid mahdavi, "The Macroscopic Behavior of the TCP Congestion Avoidance algorithm", Computer Communications Review, ACM SIGCOMM, Volume 27, number 3, July 1997.
[5] Tounis J.Ott, J.H.B. Kemperman, and Matt Mathis, " Window Size Behaviour in TCP/IP with Constant loss Probability, Nov- 1996.
[6] Y. Zhang et al., "An information Theoretic Approach to traffic matrix estimation", Proc. ACM SIGCOMM 2003.
[7] A. Feldmann et al., "Netscope: Traffic Engineering for IP networks", IEEE Network Magazine, 2000.
[8] Ashwin Sridharan, R.Guerin, C.Diot, S.Bhattaacharyya, " The impact of Traffic Granularity on Robustness of traffic Aware Routing" , Technical Report, University of Pennsylvania, March 2004
[9] Ashwin Sridharan, R.Guerin, C.Diot, " Achieving Near - Optim,al Traffic Engineering Solutions for Current OSPF/IS-IS Networks", In the proceedings of INFOCOM, SanFrancisco, April 2003.
[10] J. Rexford et al, " Deriving traffic demands for operational IP Networks: Methodology and Experience", IEEE /ACM Transactions On Networking, Vol. 9, No. 3, June 2001
[11] Jian Ni, Sekhar Tatikonda, Edmund M.Yeh," A Large sacle Distributed Traffic Matrix Estimation Algorithm", Proceedings of IEEE Globecom 2006.
[12] A.Medina, N.Taft, K.Salamatian, S.Bhattacharyya and C.Diot, " Traffic Matrix Estimation: Existing Techniques and New Directions", Proceedings of ACM SIGCOMM 2002.
[13] A. Gunnar, M.Johansson, T.Telkamp, " Traffic Matrix estimation on a Large IP backbone- A comparison on real data", Proceedings of ACM Internet Measurements Conference 04, Oct- 2004.
[14] C.Tebaldi and M.West, " Bayesian Inference of Network Traffic Using Link Count Data", Journal of American Statistical Association, vol . 93, 1998.
[15] Tang Hong, Fan Tongliang and Zhao Guogeng, " An Assignment Model on Traffic Matrix Estimation", ICNC 2006, Part II, LNCS 4222, PP. 295-304, 2006.
[16] Silva, Wilton P and Silva, Cleide. M.D.P.S. "Lab Fit curve Fitting Software for Non-Linear Regression and treatment of data program V7.2.36 (1999-2007), online: