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 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
1999
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| Subjects | |
| Online Access | Get full text |
| ISBN | 0780357965 9780780357969 |
| DOI | 10.1109/GLOCOM.1999.832452 |
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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. |
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| 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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| 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 |
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