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首页> 外文期刊>Sadhana: Academy Proceedings in Engineering Science >Provisioning in transport networks using power-aware resource allocation algorithms
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Provisioning in transport networks using power-aware resource allocation algorithms

机译:使用电源感知资源分配算法在运输网络中配置

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Transport technologies such as Optical Transport Network and Synchronous Digital Hierarchy are widely used in access and core networks to carry different types of traffic. These technologies define a hierarchy for multiplexing lower rate traffic containers onto higher rate traffic containers. Provisioning refers to the process of allocation of resources to meet a given traffic demand. Due to the continued expansion of transport networks, the power consumption increases, becoming a bottleneck for further expansion. Power-aware allocation of resources to traffic demands will enable power-efficient operation and help in minimizing the capital and operational costs of the network. In this paper, the power consumed by a switch matrix having the capability to switch different traffic containers at different amounts is considered. The objective is to minimize the number of network elements deployed in the network by allocating resources to traffic demands in power-efficient ways. A formulation based on Integer Linear Programming is first presented; later, four different heuristic approaches, based on how higher order trails are used and the use of grooming, are proposed. It is found that the grooming-based heuristics perform better in terms of the total power consumption relative to the weighted number of requests accepted. In the grooming heuristics, threshold on link utilization is set to determine when grooming is to be done, and for the same performance evaluation, it is found that the threshold of 80% gives better results.
机译:传输技术,如光传输网络和同步数字层次结构广泛用于访问和核心网络以进行不同类型的流量。这些技术定义了用于将较低速率的流量容器复用到更高速率的交通容器中的层级。供应是指资源分配的过程,以满足给定的交通需求。由于运输网络的持续扩展,功耗增加,成为进一步扩展的瓶颈。电源感知资源对流量需求的分配将使节能运行能够最大限度地减少网络的资本和运营成本。在本文中,考虑了开关矩阵消耗的功率,其具有以不同量切换不同的交通容器的能力。目的是通过将资源分配给网络中的资源以节能方式来最小化网络中部署的网络元素的数量。首先呈现基于整数线性编程的配方;后来,提出了四种不同的启发式方法,基于使用高阶路径以及使用梳理的使用。结果发现,基于整理的启发式在相对于被接受的加权次数的总功耗方面表现更好。在整修启发式中,将链路利用率的阈值设置为确定要完成的修饰何时进行,并且对于相同的性能评估,发现80%的阈值提供更好的结果。

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