软件定义卫星网络的qos感知路由算法

Junzhou Zhang, Rui Ding, Jiang Liu, Ran Zhang, Hua Lu
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引用次数: 5

摘要

卫星网络正朝着与地面网络融合的方向发展,因此更多类型的业务将涌入卫星网络。为了满足卫星网络中不同通信业务对QoS的要求,有必要设计有效的星载路由算法。本文首先设计了基于sdn的LEO/GEO卫星网络模型。针对该模型,提出了一种基于优先队列(PQ)和加权轮询(WRR)相结合的流量调度框架的qos感知路由算法(QoSRA)。QoSRA将卫星网络中的业务分为三类:A类(双向会话业务)、B类(请求-响应业务)和C类(单向数据流业务),以便为这些不同类型的业务提供差异化的服务。针对对时延都有一定要求的A类和B类业务,改进了低复杂度路由算法(LCRA),通过集中计算得到当前卫星节点和目的节点位置信息的最优路径。对于带宽限制较高的C类业务,我们提出了一种基于链路状态的动态带宽自适应算法,在解决最短路径拥塞问题的同时,为该类业务提供带宽保障。通过仿真对比,QoSRA不仅可以保证不同类型业务的QoS要求,而且在端到端平均时延、丢包率和数据吞吐量方面都优于其他路由算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoSRA: A QoS-Aware Routing Algorithm for Software Defined Satellite Networks
Satellite networks are moving in the direction of merging with terrestrial networks, thus more types of services will flood into satellite networks. To meet the QoS requirements of different communication services in satellite networks, it is necessary to design effective on-board routing algorithms. In this paper, we design an SDN-enabled LEO/GEO satellite network model at first. In view of this model, a QoS-aware routing algorithm (QoSRA) based on the traffic scheduling framework combining Priority Queue (PQ) and Weighted Round Robin (WRR) is proposed. QoSRA divides the services in satellite networks into three categories: class A (two-way conversational services), class B (request-response services) and class C (one-way data streaming services), so as to provide differentiated services for these different types of services. For class A and class B services which both have certain requirements for delay, we improve the low-complexity routing algorithm (LCRA) to obtain the optimal path with the location information of the current satellite node and the destination node by centralized computation. For class C services that have high restrictions on bandwidth, we propose a dynamic bandwidth adaption algorithm based on link status, which provides the bandwidth guarantee for these services while solving the congestion problem on the shortest path. Through the comparison of simulation, QoSRA can not only guarantee the QoS requirements of different types of services but also is superior to other routing algorithms in terms of mean end-to-end delay, packet loss rate and data throughput.
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