BULGARIAN ACADEMY OF SCIENCES
BULGARIAN ACADEMY OF SCIENCES
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DOI：
10.2478/cait-2019-0036
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发表时间：
2019-11
影响因子：
1.2
通讯作者：
Xiaoling Li;Hai Hu
中科院分区：
文献类型：
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作者：
Xiaoling Li;Hai Hu
随着计算机网络的迅速发展，越来越多的主机连接到Internet上，在那里它们可以相互通信。网络服务的需求已经超过了网络的服务能力，服务质量(Qos，Quality of Service)正在逐渐下降。在现有最短路径优先(SPF)算法的基础上，考虑网络资源开销均衡，提出了一种新的满足服务质量要求的传输路径方法。本文以熵粒度作为路由协议应用的主线。首先，研究了网络负载均衡资源的路由优化算法、基于链路流量分配权重的路由算法、基于自适应遗传算法的链路权值优化算法和基于熵粒度理论的计算智能算法。提出了一种将熵粒度应用于开放最短路径优先(OSPF)路由的方法，并给出了该方法的具体实现。在此基础上，结合具体实例进行了案例分析。
Abstract With the rapid development of computer networks, more hosts are connected to the Internet where they could communicate with each other. The need for network service has exceeded the service capacity of the network, and the Quality of Service (QoS) is gradually declining. Based on existing Shortest Path First (SPF) algorithm, this paper proposes a new QoS required transmission path approach by considering the overhead balance of network resources. This paper uses the entropy granularity as the main line in the application of routing protocols. Firstly, it researches the optimization of routing algorithms for network load balancing resources, routing algorithms based on link traffic distributing weights, link weight optimization based on adaptive genetic algorithm and computational intelligence based on entropy granularity theory. This research proposes a method to apply entropy granularity to Open Shortest Path First (OSPF) routing, including the implementation of the method. After that, a case study is presented by using some examples.