Connection rerouting in GRWA networks

A. Metnani, B. Jaumard
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引用次数: 1

Abstract

Traffic grooming consists of packing low rate streams onto a high speed lightpath in order to effectively use the network resources. Under dynamic traffic, rerouting of ongoing connections has been envisioned as a means, to be used very wisely, to reduce the connection blocking rate and to optimize the network resources. In a context of traffic with QoS constraints, only the delay tolerant ongoing connections are rerouted. In this paper, we design three new heuristics, one relying on a mathematical ILP (Integer Linear Program) model and two low complexity ones to carefully reroute ongoing connection requests in order to accommodate the new incoming connection requests, while minimizing connection disturbance. While the ILP model allows the full exploration of a limit on the overall number of reroutings, both heuristics are designed as low complexity heuristics in order to limit the number of rerouting per establishment of a new incoming connection request. Comparative computational results show that the two low complexity heuristics provide much better results in terms of the best compromise between maximizing the throughput and minimizing the number of disturbances of the already established connection requests.
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GRWA网络中的连接重路由
流量疏导包括将低速率流打包到高速光路上,以便有效地利用网络资源。在动态流量下,正在进行的连接的重路由被设想为一种方法,可以非常明智地使用,以减少连接阻塞率和优化网络资源。在具有QoS约束的流量上下文中,只有可容忍延迟的正在进行的连接才会被重路由。在本文中,我们设计了三种新的启发式算法,一种依赖于数学ILP(整数线性规划)模型,两种低复杂度的启发式算法仔细地重新路由正在进行的连接请求,以适应新的传入连接请求,同时最大限度地减少连接干扰。虽然ILP模型允许对重路由总数的限制进行全面探索,但这两种启发式方法都被设计为低复杂度启发式方法,以便限制每次建立新的传入连接请求所需要的重路由数量。比较计算结果表明,两种低复杂度启发式算法在最大吞吐量和最小化已建立连接请求的干扰数量之间的最佳折衷方面提供了更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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