A randomized algorithm for finding a path subject to multiple QoS constraints

An important aspect of quality-of-service (QoS) provisioning in integrated networks is the ability to find a feasible route that satisfies end-to-end QoS requirements of a connection request while efficiently using network resources. In general, finding a path subject to multiple additive constraint...

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Published in:Global Telecommunications Conference (GLOBECOM), 1999 IEEE Vol. 3; pp. 1694 - 1698 vol.3
Main Authors: Korkmaz, T., Krunz, M.
Format: Conference Proceeding
Language:English
Published: IEEE 1999
Subjects:
Approximation algorithms
Bandwidth
Computational complexity
Computer networks
Costs
Delay
Heuristic algorithms
Polynomials
Quality of service
Routing
ISBN:0780357965, 9780780357969
Online Access:Get full text
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Abstract An important aspect of quality-of-service (QoS) provisioning in integrated networks is the ability to find a feasible route that satisfies end-to-end QoS requirements of a connection request while efficiently using network resources. In general, finding a path subject to multiple additive constraints (e.g., delay, delay-jitter) is an NP-complete problem. For this problem, we propose a randomized heuristic algorithm with polynomial-time complexity. Our algorithm first prunes all the links that cannot be on any feasible paths. It then uses a randomized heuristic search to find a feasible path, if one exists. The worst-case computational complexity of our algorithm is O(n/sup 2/), where n is the number of nodes. The storage complexity of the algorithm is O(n). Using extensive simulations, we show that our algorithm gives very high success rate in finding feasible paths.
AbstractList An important aspect of quality-of-service (QoS) provisioning in integrated networks is the ability to find a feasible route that satisfies end-to-end QoS requirements of a connection request while efficiently using network resources. In general, finding a path subject to multiple additive constraints (e.g., delay, delay-jitter) is an NP-complete problem. For this problem, we propose a randomized heuristic algorithm with polynomial-time complexity. Our algorithm first prunes all the links that cannot be on any feasible paths. It then uses a randomized heuristic search to find a feasible path, if one exists. The worst-case computational complexity of our algorithm is O(n/sup 2/), where n is the number of nodes. The storage complexity of the algorithm is O(n). Using extensive simulations, we show that our algorithm gives very high success rate in finding feasible paths.
Author Krunz, M.
Korkmaz, T.
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Snippet An important aspect of quality-of-service (QoS) provisioning in integrated networks is the ability to find a feasible route that satisfies end-to-end QoS...
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StartPage 1694
SubjectTerms Approximation algorithms
Bandwidth
Computational complexity
Computer networks
Costs
Delay
Heuristic algorithms
Polynomials
Quality of service
Routing
Title A randomized algorithm for finding a path subject to multiple QoS constraints
URI https://ieeexplore.ieee.org/document/832452
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