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A performance model of partial packet discard and early packet discard schemes in ATM switches

Publication ,  Journal Article
Sun, H; Zang, X; Trivedi, KS
Published in: Computer Communications
October 1, 2001

In this paper, we develop a concise performance model of partial packet discard (PPD) and early packet discard (EPD) schemes in ATM switches. We study the performance of PPD and EPD with heterogeneous traffic sources. The sources included Poisson, and ON-OFF with long-tailed sojourn time distribution, which is approximated by a hyperexponential distribution. The fairness of EPD is investigated. We automatically generate and numerically solve the underlying Markov chain using a high-level graphical paradigm known as the stochastic reward net. Our numerical results reveal that: (1) the benefit of PPD and EPD is not significant when the queuing system is underloaded with Poisson sources; (2) PPD and EPD can increase the goodput when the system is overloaded or loaded with ON-OFF sources; (3) in All Poisson case, PPD and EPD provide nearly fair service to the sources; (4) the ON-OFF source gets higher goodput than the Poisson source. Because the burstiness of a source will be alleviated by the statistical mu ltiplexing of ATM switches, the ON-OFF source may be viewed as the source that just enters the network, and the Poisson source may be viewed as the source being far away from the network node we are considering and has been regulated and smoothed by the switches it traversed. Therefore, the queuing system with EPD algorithm gives a higher goodput to the sources near it. And the sources far away from the system will have lower goodput. One of our principal conclusions is that per-VC-based scheme is not needed at the core of large ATM networks because the traffic is less bursty at the core of the networks and PPD and EPD are fair under this kind of environment. A per-VC-based scheme may be used at the edge of the ATM cloud. Such a configuration can make the core of the ATM network work at high speed. © 2001 Elsevier Science B.V. All rights reserved.

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Published In

Computer Communications

DOI

ISSN

0140-3664

Publication Date

October 1, 2001

Volume

24

Issue

15-16

Start / End Page

1540 / 1553

Related Subject Headings

  • Networking & Telecommunications
  • 4606 Distributed computing and systems software
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0805 Distributed Computing
 

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Sun, H., Zang, X., & Trivedi, K. S. (2001). A performance model of partial packet discard and early packet discard schemes in ATM switches. Computer Communications, 24(15–16), 1540–1553. https://doi.org/10.1016/S0140-3664(01)00310-3
Sun, H., X. Zang, and K. S. Trivedi. “A performance model of partial packet discard and early packet discard schemes in ATM switches.” Computer Communications 24, no. 15–16 (October 1, 2001): 1540–53. https://doi.org/10.1016/S0140-3664(01)00310-3.
Sun H, Zang X, Trivedi KS. A performance model of partial packet discard and early packet discard schemes in ATM switches. Computer Communications. 2001 Oct 1;24(15–16):1540–53.
Sun, H., et al. “A performance model of partial packet discard and early packet discard schemes in ATM switches.” Computer Communications, vol. 24, no. 15–16, Oct. 2001, pp. 1540–53. Scopus, doi:10.1016/S0140-3664(01)00310-3.
Sun H, Zang X, Trivedi KS. A performance model of partial packet discard and early packet discard schemes in ATM switches. Computer Communications. 2001 Oct 1;24(15–16):1540–1553.
Journal cover image

Published In

Computer Communications

DOI

ISSN

0140-3664

Publication Date

October 1, 2001

Volume

24

Issue

15-16

Start / End Page

1540 / 1553

Related Subject Headings

  • Networking & Telecommunications
  • 4606 Distributed computing and systems software
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0805 Distributed Computing