Introduction to algorithms
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Topology aggregation for hierarchical routing in ATM networks
ACM SIGCOMM Computer Communication Review
Routing high-bandwidth traffic in max-min fair share networks
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Optimal PNNI complex node representations for restrictive costs and minimal path computation time
IEEE/ACM Transactions on Networking (TON)
Topology aggregation for directed graphs
IEEE/ACM Transactions on Networking (TON)
Communications of the ACM
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
Routing Through Networks with Hierarchical Topology Aggregation
ISCC '98 Proceedings of the Third IEEE Symposium on Computers & Communications
IEEE Network: The Magazine of Global Internetworking
Traffic engineering with MPLS in the Internet
IEEE Network: The Magazine of Global Internetworking
Resource Information Aggregation in Hierarchical Grid Networks
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Scheduling efficiency of resource information aggregation in grid networks
Future Generation Computer Systems
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In a hierarchical network, nodes are aggregated to groups for the purpose of simplifying routing. Each group has a set of ingress-egress nodes, and routing information is conveyed to the outside world in the form of a transition matrix (or other equivalent form) that gives the cost of traversing the network between each ingress-egress node pair. In this paper, we present a transition matrix that has enough descriptive power to support service requirements that have both restrictive (bandwidth) and additive (delay) constraints. We present a solution in the form of a matrix whose elements are functions that map requested bandwidth to minimum delay. These functions describe the efficient frontier of the solution space, and we specify a generic procedure for calculating the efficient frontier for various delay functions. The complexity of this procedure is given for a set of well-known delay functions that are of practical importance.