Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Cell loss probability of a finite ATM buffer queue

Cell loss probability of a finite ATM buffer queue

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Various formulations have been proposed to analyse the statistical behaviour of multimedia traffic over an ATM switch of infinite capacity. The authors present different approaches for calculating the cell loss probability of a finite buffer queue. They first model an ATM traffic source using a two-state Markov-modulated Bernoulli process (MMBP), and then calculate the cell loss probability of a finite ATM buffer queue fed with N such traffic sources using different approaches. Numerical comparison confirms that all these approaches yield similar results. The first two approaches are based on the matrix geometric formulation. The authors derive the queue length distribution of a finite ATM buffer and solve for the state probability. The cell loss probability is then approximated by the saturation probability (i.e. the probability that the buffer is full, in the first approach). In the second approach, having obtained the state probability, the authors derive the exact expression for the cell loss probability using conditional probability. The third approach is based on an approximation for the buffer content of a queueing buffer. The cell loss probability is formulated using a generating function and solved by examining the smallest pole of its function.

References

    1. 1)
      • Rananand, N.: `Approximating a variable bit rate source by Markov processes', Proceedings of GLOBECOM'94, 1994, p. 1107–1112.
    2. 2)
      • S.-Q. Li . A general solution technique for discrete queueing analysis of multimediatraffic on ATM. IEEE Trans. Commun. , 1115 - 1132
    3. 3)
      • R. Onvural . (1994) Asynchronous transfer mode networks: performance issues.
    4. 4)
      • C.H. Ng , L. Bai , L. Zhang . Queue length solutions for an ATM buffer with MMBParrivals. Comput. Commun. J. , 10 , 878 - 883
    5. 5)
      • Xiong, Y., Bruneel, H.: `A tight upper bound for the tail distribution of the buffercontents in statistical multiplexers with heterogeneous MMBP traffic sources', Proceedings of GLOBECOM'93, 1993, p. 767–771.
    6. 6)
      • D. Anick , D. Mitra , M.M. Sondhi . Stochastic theory of a data handling system withmultiple sources. Bell Syst. Tech. J. , 8 , 1871 - 1894
    7. 7)
      • Bai, L.: `Queueing analysis of variable-bit-rate traffic over ATM switching', 1997, MEng, Nanyang Technological University.
    8. 8)
      • J.R. Rice . (1981) Matrix computations and mathematical software.
    9. 9)
      • Y. Fan , N. Georganas . Performance analysis of ATM switches with self-similarinput traffic. Comput. Syst. Sci. Eng. , 95 - 102
    10. 10)
      • Gun, L., Guerin, R.: `A unified approach to bandwidth allocation and access control in fastpacket switching networks', Proceedings of INFOCOM'93, 1992, Italy.
    11. 11)
      • B. Venkataramani , K. Bose Sanjay , K.R. Srivathsan . Queueing analysis of a non-preemptiveMMPP/D/1 priority system. Comput. Commun. , 999 - 1018
    12. 12)
      • T.-Y. Tung , J.-F. Chang . Resource allocation algorithms for ATM nodes supportingheterogeneous traffic sources subject to varying quality of service requirements. IECE Trans. Commun. , 3 , 420 - 433
    13. 13)
      • J.-Y.L. Boudec . An efficient solution method for Markov models of ATM links with losspriorities. IEEE J. Sel. Areas Commun. , 3 , 408 - 417
    14. 14)
      • S. Jung , J.S. Meditch , Y. Wang , P. Panwar , S.-P. Kim , H.L. Bertoni . (1996) A traffic descriptor-based flow control scheme forefficient video transmission over ATM, Multimedia communications and video coding.
    15. 15)
      • C. Blondia , O. Casals . (1992) Statistical multiplexing of VBR sources: a matrix-analyticalapproach, Performance evaluation.
    16. 16)
      • J.J. Sie , Y. Wang , P. Panwar , S.-P. Kim , H.L. Bertoni . (1996) Video on demand: killer APP or siren's song, Multimedia communications and video coding.
    17. 17)
      • C.H. Ng , L. Bai , B.H. Soong . Modelling multimedia traffic over ATM using MMBP. IEE Proc., Commun. , 5 , 307 - 310
    18. 18)
      • J.S.-C. Chen , G. Roch , S. Thomas . Markov-modulated flow model for theoutput queues of a packet switch. IEEE Trans. Commun. , 6 , 1098 - 1110
    19. 19)
      • J. von Neumann , H.H. Goldstine . Numerical inverting of matrices of high order. Bull. Am. Math. Soc. , 1021 - 1089
    20. 20)
      • Wang, S.S., Silvester, J.A.: `A model for the performance analysis of voice/data ATMmultiplexer', Proceedings of GLOBECOM'94, 1994, p. 908–912.
    21. 21)
      • I. Khan , V.O.K. Li . Traffic control in ATM networks. Comput. Netw. ISDN Syst. , 85 - 100
    22. 22)
      • H. Heffes , D.M. Lucantoni . A Markov modulated characterization of packetized voice anddata traffic and related statistical multiplexer performance. IEEE J. Sel. Areas Commun. , 856 - 868
    23. 23)
      • Takine, T., Suda, T., Hasegawa, T.: `Cell loss and output process analysis of a finite-bufferdiscrete-time ATM queueing system with correlated arrivals', Proceedings of INFOCOM'93, 1993, p. 1259–1269.
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-com_19990280
Loading

Related content

content/journals/10.1049/ip-com_19990280
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address