Experience-Based Admission Control with Type-Specific Overbooking

Milbrandt, Jens; Menth, Michael; Junker, Johannes

doi:10.1007/11908852_7

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…The experiments evaluate the performance of the algorithm against three comparative admission control algorithms under a number of different traffic scenarios employing real traffic traces of long-lived flows. The algorithms within the comparison included the Parameter Based Admission Control algorithm (PBAC) [16], the Measurement based a priori Traffic Descriptor based Admission Control algorithm (MTAC) [17] and the Experience Based Admission Control algorithm (EBAC) [18]. From the perspective of QoS control the admission control algorithm demonstrated that an adequate, but not overly generous, amount of bandwidth is allocated to ensure that QoS targets for accepted flows are met.…”

Section: B Experimentation and Resultsmentioning

confidence: 99%

An approach to measurement based Quality of Service control for communications networks

Davy

Botvich

Jennings

2009

2009 IFIP/IEEE International Symposium on Integrated Network Management

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Abstract-This paper presents a purely empirical approach to estimating the effective bandwidth of aggregated traffic flows independent of traffic model assumptions. The approach is shown to be robust when used in a variety of traffic scenarios such as both elastic and streaming traffic flows of varying degrees of aggregation. The method then forms the basis of two Quality of Service related traffic performance optimisation strategies. The paper presents a cost efficient approach to supplying suitably accurate demand matrix input for QoS related network planning and a QoS provisioning, revenue maximising admission control algorithm for an IPTV services network. This paper summarises these approaches and discusses the major benefits of an appropriately accurate effective bandwidth estimation algorithm.

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Section: B Experimentation and Resultsmentioning

confidence: 99%

An approach to measurement based Quality of Service control for communications networks

Davy

Botvich

Jennings

2009

2009 IFIP/IEEE International Symposium on Integrated Network Management

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“…The extension of EBAC towards TSOB [27] yields a compound overbooking factor which considers different traffic types subsuming flows with similar peak-to-mean rate ratios. A major challenge regarding this extension is the determination of type-specific reservation utilizations required to calculate the compound overbooking factor.…”

Section: Discussionmentioning

confidence: 99%

“…In particular, the steady state performance of EBAC is investigated for traffic with static characteristics. Since MBAC methods are sensitive to traffic variability, we investigate the behavior of EBAC in the presence of traffic changes in [26], [27]. Those changes may be due to variations on the packet and/or the flow scale level of the traffic.…”

Section: B Experience-based Admission Controlmentioning

confidence: 99%

“…A single overbooking factor is calculated based on the traffic characteristics of the entire admitted traffic aggregate. This article is based on the results of [27] and focuses on traffic changes on the flow scale level. We extend EBAC towards type-specific overbooking (TSOB), i.e., we make the EBAC mechanism aware of different traffic types and use additional information about the individual characteristics of these traffic types and about the composition of the admitted traffic mix to calculate a compound overbooking factor ϕ c (t).…”

Section: B Experience-based Admission Controlmentioning

confidence: 99%

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Improving Experience-Based Admission Control through Traffic Type Awareness

Milbrandt¹,

Menth²,

Junker³

2007

JNW

Self Cite

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Experience-based admission control (EBAC) is a hybrid approach combining the classical parameter-based and measurement-based admission control. EBAC calculates an appropriate overbooking factor used to overbook link capacities with resource reservations in packet-switched networks. This overbooking factor correlates with the average peak-to-mean rate ratio of all admitted traffic flows on the link. So far, a single overbooking factor is calculated for the entire traffic aggregate. In this paper, we propose typespecific EBAC which provides a compound overbooking factor considering different types of traffic that subsume flows with similar peak-to-mean rate ratios. The concept can be well implemented since it does not require measurements of type-specific traffic aggregates. We give a proof of concept for this extension and compare it with the conventional EBAC approach. We show that EBAC with type-specific overbooking leads to better resource utilization under normal conditions and to faster response times for changing traffic mixes.

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“…Examples include Experience Based Admission Control (EBAC) [13], and Measurement Based and a priori Traffic Descriptor Admission Control (MTAC) [14]. Both methods utilize measurements taken from the network, and knowledge of traffic descriptors to predict future bandwidth requirements.…”

Section: Related Workmentioning

confidence: 99%