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KBAC: Knowledge-Based Admission Control
"... Abstract—Many methods have been proposed in the literature to perform admission control in order to provide a sufficient level of Quality of Service (QoS) to accepted flows. In this paper, we introduce a novel data-driven method based on a timevarying model that we refer to as Knowledge-Based Admiss ..."
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Abstract—Many methods have been proposed in the literature to perform admission control in order to provide a sufficient level of Quality of Service (QoS) to accepted flows. In this paper, we introduce a novel data-driven method based on a timevarying model that we refer to as Knowledge-Based Admission Control solution (KBAC). Our KBAC solution consists of three main stages: (i) collect measurements on the on-going traffic over the communication link; (ii) maintain an up-to-date broad view of the link behavior, and feed it to a Knowledge Plane; (iii) model the observed link behavior by a mono-server queue whose parameters are set automatically and which predicts the expected QoS if a flow requesting admission were to be accepted. Our KBAC solution provides a probabilistic guarantee whose admission threshold is either expressed, as a bounded delay or as a bounded loss rate. We run extensive simulations to assess the behavior of our KBAC solution in the case of a delay threshold. The results show that our KBAC solution leads to a good trade-off between flow performance and resource utilization. This ability stems from the quick and automatic adjustment of its admission policy according to the actual variations on the traffic conditions. I.
Knowledge-Based Admission Control: A Real-Time Performance Analysis
"... Abstract—In this demonstration, we illustrate the behavior of a prototype implementation described in [3]. It consists of a web interface tool 1 for a new data-driven admission control solution that we refer to as Knowledge-Based Admission Control (KBAC) solution. Our KBAC solution builds an up-to-d ..."
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Abstract—In this demonstration, we illustrate the behavior of a prototype implementation described in [3]. It consists of a web interface tool 1 for a new data-driven admission control solution that we refer to as Knowledge-Based Admission Control (KBAC) solution. Our KBAC solution builds an up-to-date Knowledge Plane of the link behavior by feeding a mono-server queue model. This demonstration offers visual display of instantaneous (i) Knowledge Plane building; (ii) performance of our KBAC solution. We also illustrate the behavior of our proposed solution that provides a good trade-off between flow performance and resource utilization. I.
Author manuscript, published in "IEEE LCN, United States (2012)" KBAC: Knowledge-Based Admission Control
, 2013
"... Abstract—Many methods have been proposed in the literature to perform admission control in order to provide a sufficient level of Quality of Service (QoS) to accepted flows. In this paper, we introduce a novel data-driven method based on a timevarying model that we refer to as Knowledge-Based Admiss ..."
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Abstract—Many methods have been proposed in the literature to perform admission control in order to provide a sufficient level of Quality of Service (QoS) to accepted flows. In this paper, we introduce a novel data-driven method based on a timevarying model that we refer to as Knowledge-Based Admission Control solution (KBAC). Our KBAC solution consists of three main stages: (i) collect measurements on the on-going traffic over the communication link; (ii) maintain an up-to-date broad view of the link behavior, and feed it to a Knowledge Plane; (iii) model the observed link behavior by a mono-server queue whose parameters are set automatically and which predicts the expected QoS if a flow requesting admission were to be accepted. Our KBAC solution provides a probabilistic guarantee whose admission threshold is either expressed, as a bounded delay or as a bounded loss rate. We run extensive simulations to assess the behavior of our KBAC solution in the case of a delay threshold. The results show that our KBAC solution leads to a good trade-off between flow performance and resource utilization. This ability stems from the quick and automatic adjustment of its admission policy according to the actual variations on the traffic conditions. 1 I.
QoE-Driven Admission Control for Video Streams
"... Abstract—The rapid growth of video traffic on the Internet raises many challenges for Internet service providers in managing their network resources. An emerging trend in this regard is the development of network management strategies to enhance the quality experienced by the end-users (Quality of E ..."
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Abstract—The rapid growth of video traffic on the Internet raises many challenges for Internet service providers in managing their network resources. An emerging trend in this regard is the development of network management strategies to enhance the quality experienced by the end-users (Quality of Experience – QoE). In this paper, we introduce an admission control scheme for video streams. Our proposed scheme is based on real-time estimates of the QoE observed by the end-users. The experimental results show that our proposed scheme yields satisfactory results in terms of the trade-off between the QoE delivered and the utilization of the network resources.
