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An On-Demand QoS Routing Algorithm in Multiservice Scenarios

机译:多服务场景中的按需QoS路由算法

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The trend that Internet applications are becoming more various puts forward higher request on Quality of Service (QoS) of coexisting multiservices in modern networks. An on-demand QoS path selection algorithm (marked as BW-cost algorithm) satisfying constrained conditions of both bandwidth and cost is proposed innovatively in this paper, and its usage procedures in OSPF is claimed accordingly. The core idea of the algorithm is choosing the best route satisfying certain bandwidth requirement with smallest cost in order to achieve the goal of splitting streams and balancing load. Simulation results shows the BW-cost algorithm can successfully guarantee multiservices' QoS demands as well as has much better performance in some targets such as throughput and network utility, comparing to traditional Dijkstra algorithm. It also exceeds en existing on-demand QoS algorithm.
机译:Internet应用程序变得越来越多样化的趋势对现代网络中共存的多服务的服务质量(QoS)提出了更高的要求。本文创新地提出了一种同时满足带宽和成本约束条件的按需QoS路径选择算法(称为BW成本算法),并据此主张其在OSPF中的使用过程。该算法的核心思想是选择满足一定带宽要求,成本最小的最佳路由,以达到分流,均衡负载的目的。仿真结果表明,与传统的Dijkstra算法相比,BW开销算法可以成功满足多业务的QoS需求,并且在吞吐量和网络实用性等目标上具有更好的性能。它也超过了现有的按需QoS算法。

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