Solving k-shortest and constrained shortest path problems efficiently
Annals of Operations Research
Approximation schemes for the restricted shortest path problem
Mathematics of Operations Research
The network inhibition problem
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
QoS routing in networks with uncertain parameters
IEEE/ACM Transactions on Networking (TON)
QoS routing in networks with inaccurate information: theory and algorithms
IEEE/ACM Transactions on Networking (TON)
Routing with end-to-end QoS guarantees in broadband networks
IEEE/ACM Transactions on Networking (TON)
An efficient algorithm for finding a path subject to two additive constraints
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An Approximation Algorithm for Combinatorial Optimization Problems with Two Parameters
An Approximation Algorithm for Combinatorial Optimization Problems with Two Parameters
Search Space Reduction in QoS Routing
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
Research: Congestion control based dynamic routing in ATM networks
Computer Communications
A simple efficient approximation scheme for the restricted shortest path problem
Operations Research Letters
Routing subject to quality of service constraints in integrated communication networks
IEEE Network: The Magazine of Global Internetworking
Dynamic SPT update for multiple link state decrements in network routing
The Journal of Supercomputing
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Path selection under multiple additive QoS constraints in high-speed networks is an NP-complete problem. Most of the algorithms proposed for QoS routing suffer from either excessive computational complexities or low performance. In this paper, we propose two practical heuristic algorithms that are based on iterative shortest-path computations with a dynamic cost function. The cost function comprises a combination of several QoS constraints and a single optimization metric. A simulation program evaluates the performance of the algorithms. The simulation results indicate that our algorithms give very high performance and fast running time.