A case for end system multicast (keynote address)
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
QoS-based Routing in Networks with Inaccurate Information: Theory and Algorithms
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
QoS-Assured Service Composition in Managed Service Overlay Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Service overlay networks: SLAs, QoS, and bandwidth provisioning
IEEE/ACM Transactions on Networking (TON)
OverQos: an overlay based architecture for enhancing internet Qos
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
QRON: QoS-aware routing in overlay networks
IEEE Journal on Selected Areas in Communications
Design and performance evaluation of service overlay networks topologies
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
Unicast QoS routing in overlay networks
Network performance engineering
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In recent years, overlay networks have emerged as an attractive alternative for supporting value-added services. Due to the difficulty of supporting end-to-end QoS purely in end-user overlays, backbone overlays for QoS support have been proposed. In this paper, we describe a backbone QoS overlay network architecture for scalable, efficient and practical QoS support. In this architecture, we advocate the notion of QoS overlay network (referred to as QSON) as the backbone service domain. The design of QSON relies on well-defined business relationships between the QSON provider, network service providers and end users. A key challenge in making QSON a reality consists of efficiently determining routes for end user QoS flows based on the service level agreements between the QSON provider and network service providers. In this paper, we propose and present a scalable and distributed QoS routing scheme that can be used to efficiently route end user QoS flows through QSON. We demonstrate the effectiveness of our solution through simulations.