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)
Decentralized Resilient Grid Resource Management Overlay Networks
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
A cost-benefit flow control for reliable multicast and unicast in overlay networks
IEEE/ACM Transactions on Networking (TON)
A practical architecture for implementing end-to-end QoS in an IP network
IEEE Communications Magazine
A construction of locality-aware overlay network: mOverlay and its performance
IEEE Journal on Selected Areas in Communications
QRON: QoS-aware routing in overlay networks
IEEE Journal on Selected Areas in Communications
International Journal of Autonomous and Adaptive Communications Systems
QoS-aware path switching for VoIP traffic using SCTP
Computer Standards & Interfaces
Hi-index | 0.24 |
Bandwidth provisioning and QoS mapping are key issues to support multimedia services such as VoIP in the emerging network technologies. The classification feature enables MPLS (Multi-protocol Label Switch) to support differentiated types of services (DiffServ) with needed QoS. The differentiated service model provides a variety of mechanisms to achieve different objectives (such as call level or packet level satisfaction). To design a good service model, which can balance the call level and packet level QoS performances, is a challenging task. In this paper, we propose two objective-oriented service models for the VoIP services over the DiffServ/MPLS networks. They can be modeled as the continuous time Markov chains (CTMC) and the performance are assessed in details. The salient point for the proposed service models is to solve the myth of the trade-off between the service quality (user's concern) and the system revenue (system provider's concern) - involving how to meet each user's SLA requirements while maximizing system revenue. The analytical results in this paper can provide useful information to both user and service provider for signing a cost-effective contract which provides a better trade-off between cost and QoS.