Analysis and simulation of a fair queueing algorithm
SIGCOMM '89 Symposium proceedings on Communications architectures & protocols
Providing guaranteed services without per flow management
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Endpoint admission control: architectural issues and performance
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
System capability effects on algorithms for network bandwidth measurement
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Locating internet bottlenecks: algorithms, measurements, and implications
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
QoS Control for NGN: A Survey of Techniques
Journal of Network and Systems Management
COR: An efficient Class-based resource Over-pRovisioning mechanism for future networks
ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
Enabling self-adaptive QoE/QoS control
LCN '11 Proceedings of the 2011 IEEE 36th Conference on Local Computer Networks
Multimedia Tools and Applications
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Dynamic bandwidth aggregate over-provisioning has been proposed to provide differentiated services with scalable Quality of Service (QoS) control. Previous research showed that efficient over-reservation control allows minimizing QoS control overhead with reduced waste of bandwidth and blocking probability. However, existing over-reservation centric solutions are still inefficient in the face of network dynamics, as they are not able to accommodate the dynamic service demands, thus failing to optimize the bandwidth usage. This paper proposes a new Advanced Class-based resource Over-Reservation (ACOR) solution for multicast sessions, which seeks increased network resources utilization while minimizing QoS control overhead. More specifically, ACOR is able to dynamically update the share of bandwidth between different classes of service, providing improved results with less complexity than current solutions. Our analytical and simulation results prove the cost-effective and scalable QoS control capabilities of ACOR in decentralized networks with multiple distributed ingress routers coordinating the QoS control.