Design and implementation of scalable edge-based admission control
Computer Networks: The International Journal of Computer and Telecommunications Networking - QoS for IP networks
A Distributed Admission Control Model for QoS Assurance in Large-Scale Media Delivery Systems
IEEE Transactions on Parallel and Distributed Systems
Threshold configuration and routing optimization for PCN-based resilient admission control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Design and configuration of PCN based admission control in multimedia aggregation networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A fuzzy reinforcement learning approach for pre-congestion notification based admission control
AIMS'12 Proceedings of the 6th IFIP WG 6.6 international autonomous infrastructure, management, and security conference on Dependable Networks and Services
RCFT: A Termination Method for Simple PCN-Based Flow Control
Journal of Network and Systems Management
Journal of Network and Systems Management
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The popularity of multimedia services has introduced important new challenges for broadband access network management. As these services are very prone to network anomalies such as packet loss and jitter, accurate admission control mechanisms are needed to avoid congestion. Traditionally, centralized admission control mechanisms often underperform in combination with multimedia services, as they fail to effectively characterize the amount of needed resources. Recently, measurement based admission control mechanisms have been proposed such as the IETF Pre-Congestion Notification (PCN) mechanism, where the network load is measured at each intermediate node and signaled to the edge, where the admittance decision takes place. In this article, we design a PCN based admission control mechanism, optimized for protecting bursty traffic such as video services, which is currently not studied in the PCN working group. We evaluated and identified the effect of PCN's configuration in protecting bursty traffic. The proposed admission control mechanism features three main improvements to the original PCN mechanism: first, it uses a new measurement algorithm, which is easier to configure for bursty traffic. Second, it allows to automatically adapt PCN's configuration based on the traffic characteristics of the current sessions. Third, it introduces the differentiation between video quality levels to achieve an admission decision per video quality level of each request. The mechanism has been extensively evaluated in a packet switched simulation environment, which shows that the novel admission control mechanism is able to protect video traffic while maximizing the link utilization and avoiding packet loss.