Achieving fair and predictable service differentiation through traffic degradation policies. Hnatyshin, V. & Sethi, A. Proceedings of SPIE, Quality of Service over Next-Generation Data Networks, 4524:170-181, August, 2001.
bibtex   
@article{ Hnatyshin01,
  author = {V. Hnatyshin and A. Sethi},
  title = {Achieving fair and predictable service differentiation through traffic degradation policies},
  journal = {Proceedings of SPIE, Quality of Service over Next-Generation Data Networks},
  year = {2001},
  volume = {4524},
  pages = {170-181},
  month = {August},
  annote = {It is widely acknowledged that DiffServ provides proper service differentiation in well-provisioned networks under normal traffic conditions. However DiffServ may fail to provide proper service differentiation in the presence of extreme network conditions such as congestion or in under-provisioned networks, resulting in unfair service degradation and unpredictable traffic behavior. In this paper, a new approach for service differentiation is proposed based on the observation that during periods of congestion all traffic that passes through a congested node should experience different levels of degradation of their quality of service. In particular, a degradation policy model is proposed. If incoming traffic violates the service level agreement then it is punished according to the value of the so-called non-conforming traffic field of the service level agreement. For example, non-conforming traffic could be dropped, assigned a lower service level etc. The degradation policy model is evaluated using an OPNET simulation model. The simulations show that the degradation policy model indeed works as expected.},
  bibdate = {Monday, September 10, 2001 at 09:30:08 (CEST)},
  submitter = {Karl-Johan Grinnemo}
}
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