Fibonacci heaps and their uses in improved network optimization algorithms
Journal of the ACM (JACM)
Approximation of Pareto optima in multiple-objective, shortest-path problems
Operations Research
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Approximation schemes for the restricted shortest path problem
Mathematics of Operations Research
LEDA: a platform for combinatorial and geometric computing
LEDA: a platform for combinatorial and geometric computing
Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
Computing shortest paths for any number of hops
IEEE/ACM Transactions on Networking (TON)
An efficient algorithm for finding a path subject to two additive constraints
Computer Communications
A simple efficient approximation scheme for the restricted shortest path problem
Operations Research Letters
Algorithms for precomputing constrained widest paths and multicast trees
IEEE/ACM Transactions on Networking (TON)
Replicated Server Placement with QoS Constraints
IEEE Transactions on Parallel and Distributed Systems
Multiconstrained QoS Routing: A Norm Approach
IEEE Transactions on Computers
Fast and efficient routing algorithms for delay-bounded and dependable channels
Computer Communications
Replicated server placement with qos constraints
QoS-IP'05 Proceedings of the Third international conference on Quality of Service in Multiservice IP Networks
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We consider the problem of routing in a network where quality of service constraints are placed on network traffic. We provide two optimal algorithms that are based on determining the discontinuities of functions related to the optimization at hand. The proposed algorithms have pseudopolynomial worst case running time and for a wide variety of tested networks they have fairly satisfactory running times. They perform significantly better than the algorithm based on the direct application of the dynamic programming equations and can also be used in conjunction with known polynomial-time approximation algorithms to provide good average case behavior, in addition to guaranteeing polymonial worst-case running time.