Loss rates bounds for IP switches in MPLS networks

被引:0
|
作者
Castel-Taleb, Hind [1 ]
Mokdad, Lynda [2 ]
Pekergin, Nihal [3 ]
机构
[1] Inst Natl Telecommun, GET, SAMOVAR, 9 Rue Charles Fourier, F-91011 Evry, France
[2] Univ Paris 09, Lab Lamsade, F-75775 Paris, France
[3] Univ Versailles, Lab Prism, F-78035 Versailles, France
来源
2006 IEEE INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1-3 | 2006年
关键词
IP switch; MPLS networks; multi-dimensional; Markov chain; packet loss rates; stochastic comparisons;
D O I
10.1109/AICCSA.2006.205091
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose in this paper to evaluate the performance of an IP switch in MPLS networks. We focus our study on an important QoS parameters for users which is the packet loss rates. We use a mathematical method based on stochastic comparisons of Markov chains in order to compute loss rate bounds. The system understudy can be represented by a multi-dimensional Markov chain which is too large to be solved by numerical methods. The key idea of the proposed methodology is to define bounded models with a reduced state space, so easier to solve. These bounded models provide upper and lower bounds on packets loss rates. We give in this paper the proof that the bounded models provide really stochastic bounds on performance measures. Numerical results confirm the proof and show the quality of these bounds.
引用
收藏
页码:208 / +
页数:2
相关论文
共 33 条
  • [21] Upper and Lower Bounds for the Synchronizer Performance in Systems with Probabilistic Message Loss
    Zeiner, Martin
    Schmid, Ulrich
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2021, 23 (03) : 1023 - 1056
  • [22] Simulation and analysis of traffic engineering capabilities of MPLS networks using linux test-bed
    Alam, M
    Bethoju, P
    Song, M
    Proceedings of the ISCA 20th International Conference on Computers and Their Applications, 2005, : 127 - 132
  • [23] Upper and Lower Bounds for the Synchronizer Performance in Systems with Probabilistic Message Loss
    Martin Zeiner
    Ulrich Schmid
    Methodology and Computing in Applied Probability, 2021, 23 : 1023 - 1056
  • [24] Available bit rate traffic engineering in MPLS networks with flow-based multipath routing
    Akar, N
    Hökelek, I
    Karasan, E
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2004, E87B (10) : 2913 - 2921
  • [25] New preemption policies for DiffServ-aware traffic engineering to minimize rerouting in MPLS networks
    de Oliveira, JC
    Scoglio, C
    Akyildiz, IF
    Uhl, G
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2004, 12 (04) : 733 - 745
  • [26] Performance measure bounds in mobile networks by state space reduction
    Castel-Taleb, H
    Mokdad, L
    MASCOTS 2005:13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2005, : 397 - 404
  • [27] Bounds of performance measures in large-scale mobile communication networks
    Takahashi, T
    Ozawa, T
    Takahashi, Y
    PERFORMANCE EVALUATION, 2003, 54 (03) : 263 - 283
  • [28] Distributed and Fixed Mobility Management Strategy for IP-Based Mobile Networks
    Upadhyay, Paramesh C.
    Tiwari, Sudarshan
    INTERNATIONAL JOURNAL OF INTERDISCIPLINARY TELECOMMUNICATIONS AND NETWORKING, 2011, 3 (04) : 28 - 48
  • [29] Near-optimal control policy for loss networks
    Ku, CY
    Yen, DC
    Chang, IC
    Huang, SM
    Jordan, S
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2006, 34 (04): : 406 - 416
  • [30] Statistical guarantee of QoS in communication networks with temporally correlated loss
    Yousefi'zadeh, H
    Jafarkhani, H
    GLOBECOM'03: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-7, 2003, : 4039 - 4043