@article{ Alouf01,
  author = {S. Alouf and P. Nain and D. Towsley},
  title = {Inferring Network Characteristics via Moment-Based Estimators},
  journal = {Proceedings of the IEEE INFOCOM 2001 Conference},
  year = {2001},
  month = {April},
  annote = {In this paper, two inference models are developed based on Markov processes. The two models differ in that the first model assumes exponentially distributed packet sizes while the second model prescribes a constant packet size. Five metrics describing the QoS provided to an application are considered: 1) the packet-loss probability; 2) the expected response time; 3) the conditional loss probability, i.e. the probability that two consecutive packet losses occur; 4) the conditional non-loss probability, i.e. the probability that a packet is not dropped given that the previous packet was not dropped; 5) the server occupation, i.e. the probability that a packet arrives at a non-empty queue. Estimators are derived for these QoS metrics and it is shown that based upon these estimators it is possible to calculate estimates for cross traffic (r), i.e. rate of contending flows, router queue size (s), and router servicing time (t). Validation of the estimates r, s, and t are performed through simulations with ns2.},
  url = {papers/alouf01.pdf.gz},
  bibdate = {Monday, October 22, 2001 at 14:28:43 (CEST)},
  submitter = {Karl-Johan Grinnemo}
}

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