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}
}
Downloads: 0
{"_id":"FFfqF2Nwkkix88LDb","bibbaseid":"hnatyshin-sethi-achievingfairandpredictableservicedifferentiationthroughtrafficdegradationpolicies-2001","downloads":0,"creationDate":"2015-12-04T23:32:56.823Z","title":"Achieving fair and predictable service differentiation through traffic degradation policies","author_short":["Hnatyshin, V.","Sethi, A."],"year":2001,"bibtype":"article","biburl":"http://www.cs.kau.se/cs/prtp/prtp.bib","bibdata":{"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.","author":["Hnatyshin, V.","Sethi, A."],"author_short":["Hnatyshin, V.","Sethi, A."],"bibdate":"Monday, September 10, 2001 at 09:30:08 (CEST)","bibtex":"@article{ Hnatyshin01,\n author = {V. Hnatyshin and A. Sethi},\n title = {Achieving fair and predictable service differentiation through traffic degradation policies},\n journal = {Proceedings of SPIE, Quality of Service over Next-Generation Data Networks},\n year = {2001},\n volume = {4524},\n pages = {170-181},\n month = {August},\n 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.},\n bibdate = {Monday, September 10, 2001 at 09:30:08 (CEST)},\n submitter = {Karl-Johan Grinnemo}\n}","bibtype":"article","id":"Hnatyshin01","journal":"Proceedings of SPIE, Quality of Service over Next-Generation Data Networks","key":"Hnatyshin01","month":"August","pages":"170-181","submitter":"Karl-Johan Grinnemo","title":"Achieving fair and predictable service differentiation through traffic degradation policies","type":"article","volume":"4524","year":"2001","bibbaseid":"hnatyshin-sethi-achievingfairandpredictableservicedifferentiationthroughtrafficdegradationpolicies-2001","role":"author","urls":{},"downloads":0},"search_terms":["achieving","fair","predictable","service","differentiation","through","traffic","degradation","policies","hnatyshin","sethi"],"keywords":[],"authorIDs":[],"dataSources":["6WGcSu2Ku7pZzqCcg"]}