动态场景下半透明光网络中最小再生数的一种有效启发式算法

Ira Nath, U. Bhattacharya, M. Chatterjee
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引用次数: 0

摘要

本文研究了动态环境下半透明光网络中再生器资源利用率最小化的问题。这个问题是一个np完全问题,随着网络规模的增加,其解决方案仍然难以解决。本文提出了一种启发式方法,在动态场景下,以尽可能减少再生节点上的再生次数的方式路由每个传入请求。该算法方法的输入是从执行另一个启发式CLR[14]的输出中获得的再生器位置,该启发式CLR[14]实际上选择了网络中最小可能数量的再生器节点。性能比较表明,所提出的启发式算法在所有再生器节点之间发生的最大再生次数和连接阻塞概率方面都比现有的启发式算法有了显著的改进。
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An efficient heuristic to minimize number of regenerations in translucent optical network under dynamic scenario
In this paper, the problem of minimizing the utilization of resources at regenerators under dynamic environment in translucent optical networks has been studied. The problem is an NP-complete one the solution of which remains intractable as the network size increases. A heuristic approach is proposed here to route each incoming request in a way to reduce the number of regenerations at regenerating nodes under dynamic scenario to the extent possible. Input to this algorithmic approach is the regenerator positions obtained from the output of execution of another heuristic CLR [14] which actually selects minimum possible number of regenerator nodes in the network. Performance comparisons show that the proposed heuristic provide a significant improvement over the existing one both in terms of maximum number of regenerations that occur amongst all the regenerator nodes and also connection blocking probability.
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