A survey of adaptive bandwidth control algorithms

Siripongwutikorn, Peerapon; Banerjee, Sujata; Tipper, David

doi:10.1109/comst.2003.5342227

Cited by 34 publications

(16 citation statements)

References 28 publications

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“…Also, in this method, only exponential distribution in order to approximate the new service rate is used. But approximation of this value for other distributions is very difficult [16]. Similarly, in this reference probability of that queuing delays is more than maximum acceptable delay is less than ε .…”

Section: Introductionmentioning

confidence: 94%

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Performance Evaluation of TD-Learning Methods for Bandwidth Provisioning

Jahanshahi

Meybodi

2007

7th IEEE International Conference on Computer and Information Technology (CIT 2007)

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Q-learning and SARSA are two methods of TDlearning. Researchers interested in this field proposed the Eligibility concept in order to speed up Q-learning and SARSA. They proved their claim by running the algorithms in a static environment. Authors of this paper have used Q-learning, SARSA and also their eligibility versions for bandwidth provisioning in DiffServ networks that is an absolutely dynamic environment. Performance of these methods in this absolutely dynamic environment is evaluated.

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Section: Introductionmentioning

confidence: 94%

“…Bandwidth provisioning is one of methods for queuing delay guarantee in routers. ABC schemes can be classified in two categories closed-loop or open-loop [16]. In closed-loop some metrics such as, the packet loss [27,18,22], average queue length [20], delay [19,21] or other system states is checked as feedback to adjust new bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of TD-Learning Methods for Bandwidth Provisioning

Jahanshahi

Meybodi

2007

7th IEEE International Conference on Computer and Information Technology (CIT 2007)

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“…This is known as adaptive bandwidth control (ABC) and a number of closed loop type algorithms have been proposed for doing this. An excellent survey of ABC mechanisms can be found in [10].…”

Section: Introductionmentioning

confidence: 99%

Control of queueing delay in a buffer with time-varying arrival rate

Guan

Woodward

Awan

2006

Journal of Computer and System Sciences

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Quality of Service (QoS) is of extreme importance in accommodating the increasingly diverse range of services and types of traffic in present day communication networks and delay is one of the most important QoS metrics. This paper presents a new approach for constraining queueing delay in a buffer to a specified level as the arrival rate changes with time. A discrete-time control algorithm is presented that operates on a buffer (queue) which incorporates a moveable threshold. An algorithm is developed that controls the delay by dynamically adjusting the threshold which, in turn, controls the arrival rate. The feasibility of the system is examined using both theoretical analysis and simulation.

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“…Over the years a fair amount of literature has appeared on developing adaptive bandwidth control algorithms to meet packet level QoS metrics and the interested reader is referred to the survey paper [16]. There has been much less work in the literature that addresses call blocking and capacity adjustment at the call level.…”

Section: Introductionmentioning

confidence: 99%

A Call Level Adaptive Bandwidth Allocation Scheme Based on Lyapunov Control Theory

Bin-Abbas

Tipper

2006

11th IEEE Symposium on Computers and Communications (ISCC'06)

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Abstract-In this paper, we propose an adaptive capacity allocation scheme at the call level for a blocked call cleared loss system. The scheme aims to maintain the connection blocking probability around a specified target value by dynamically adjusting the allocated capacity. Based on a fluid flow model of the loss system, Lyapunov Stability theory is used to derive an adaptive capacity adjustment scheme which guarantees overall system stability around the target call blocking probability. Numerical results are given which show that the Lyapunov control based scheme is robust to load variations and performs better than existing schemes in the literature.

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A survey of adaptive bandwidth control algorithms

Cited by 34 publications

References 28 publications

Performance Evaluation of TD-Learning Methods for Bandwidth Provisioning

Performance Evaluation of TD-Learning Methods for Bandwidth Provisioning

Control of queueing delay in a buffer with time-varying arrival rate

A Call Level Adaptive Bandwidth Allocation Scheme Based on Lyapunov Control Theory

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