1991
DOI: 10.1109/49.76630
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Modeling and performance comparison of policing mechanisms for ATM networks

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Cited by 339 publications
(78 citation statements)
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“…However, most of the work so far has focused on transmission and traffic regulation over asynchronous transfer mode (ATM) networks [8], [26], of which perhaps the simplest example is the Leaky Bucket controller [24]. Video over ATM was of interest because of two reasons: 1) ATM was thought of as one of the candidate transport technologies for future broadband integrated services data networks (B-ISDN) all the way to the end user and 2) ATM networksareabletoprovideQuality-of-Service(QoS)guarantees .…”
Section: Network/coder Interfacementioning
confidence: 99%
“…However, most of the work so far has focused on transmission and traffic regulation over asynchronous transfer mode (ATM) networks [8], [26], of which perhaps the simplest example is the Leaky Bucket controller [24]. Video over ATM was of interest because of two reasons: 1) ATM was thought of as one of the candidate transport technologies for future broadband integrated services data networks (B-ISDN) all the way to the end user and 2) ATM networksareabletoprovideQuality-of-Service(QoS)guarantees .…”
Section: Network/coder Interfacementioning
confidence: 99%
“…If the ABR connection is multiplexed with several VBR sources, B(n) is the difference between the ABR peak rate C and the aggregated rate of VBR sources. If the VBR sources are modeled as ON-OFF sources (in the literature, bursty traffic expected for ATM networks are usually modeled as ON-OFF sources [10,11]), then (see Appendix) the available bandwidth B can be modeled by the following first order stochastic difference equation…”
Section: Buffer Level Variancementioning
confidence: 99%
“…These are for example the Leaky Bucket, the Jumping Window Mechanism, the Triggered Jumping Window Mechanism or the Exponentially Weighted Moving A verage Mechanism. Descriptions and performance comparisons ofthese algorithms can be found for example in [6,7,17,18,19].…”
Section: Introduction To Cell Rate Monitoring Algorithmsmentioning
confidence: 99%