Paper
15 April 2004 MIS-LB: a QoS routing algorithm with min-sharing interference and load balancing based on nonlinear path distance
Min Zhang, Xiaolong Yang, Xuefei Tang, Hui Liu
Author Affiliations +
Proceedings Volume 5282, Network Architectures, Management, and Applications; (2004) https://doi.org/10.1117/12.516689
Event: Asia-Pacific Optical and Wireless Communications, 2003, Wuhan, China
Abstract
As known, the QoS routing under multiple constraints, which can be additive, multiplicative and concave, is a NP-complete problem, and is difficult to get a polynomial-time solution. Currently, many heuristic algorithms have been proposed to solve this problem, where the path distance usually acts as the most important factor during the routing decision-making. However, most of heuristic algorithms are based on linear path distance, which has the greatest shortcoming, i.e., the search of feasible solutions is inefficient. Besides, they also consider the link sharing interference and load balancing. To improve their performance, this paper proposes a novel QoS routing for multiple constraints based on the nonlinear path distance, which is called MIS-LB. At first, this paper represents the additive and multiplicative QoS metrics in the uniform metric, i.e. the nonlinear path distance. Then, the paper also brings the link sharing and load balancing into the uniform metric. Based on the shortest-first criterion, MIS-LB can not only find feasible paths as the normal routing algorithm (e.g., Dijkstra algorithm), but also adjust the link sharing, and balance the network loads between multiple feasible paths. So compared with TAMCRA and H_MCOP, the simulation results show that MIS-LB can further improve network performance.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Zhang, Xiaolong Yang, Xuefei Tang, and Hui Liu "MIS-LB: a QoS routing algorithm with min-sharing interference and load balancing based on nonlinear path distance", Proc. SPIE 5282, Network Architectures, Management, and Applications, (15 April 2004); https://doi.org/10.1117/12.516689
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KEYWORDS
Reliability

Lithium

Computer science

Mathematics

Networks

Optimization (mathematics)

Computer programming

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