Introduction to algorithms
Adaptive bandwidth allocation by hierarchical control of multiple ATM traffic classes
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 1)
Communicating with virtual paths and virtual channels
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
Multimedia traffic management principles for guaranteed ATM network performance
IEEE Journal on Selected Areas in Communications
Virtual path and link capacity design for ATM networks
IEEE Journal on Selected Areas in Communications
Equivalent capacity and its application to bandwidth allocation in high-speed networks
IEEE Journal on Selected Areas in Communications
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In addition to simplifying nodal processing and network architecture, a good virtual path layout/capacity design reduces network system costs and improves overall QoS (Quality of Service) manageability and system utilization. A shortest-path based layout scheme and a virtual path capacity allocation scheme are proposed in this paper. For ease of implementation, we adopt a deterministic Virtual Path (VP) capacity assignment scheme. Each VP contains multiple Virtual Channels (VCs). The bandwidth assigned to each VC affects both the VC's QoS and the remaining capacity in the corresponding VP. We have recently proposed a novel bandwidth allocation scheme, in which bandwidth assignments are made based on a bandwidth queue model, to maximize the network utilization and user satisfaction. In this paper, this bandwidth queue model is used to quantify VP costs and a constrained non-linear optimization problem with VP capacities as decision variables is formulated. Since Switched Virtual Connection (SVC) traffic may be routed through different VPs, and hence affect the optimal VP capacity design, SVC routing parameters are also included as decision variables and determined together with the VP capacities.