摘要
随着网络规模的不断扩大和复杂度的增加,网络的可靠性和性能变得越来越重要。在可编程网络中,路由优化算法成为提高网络性能和可靠性的重要手段之一。在网络中,路由优化是一个非常重要的问题,因为它直接影响网络的性能和可靠性。传统的路由算法存在一些问题,如收敛速度慢、资源利用率低等。为了解决上述问题,提出了一种新的路由优化算法,即结合Bellman-Ford的双向Dijkstra算法进行最短路径计算。具体来说,首先从可编程网络入手,分析了传统的路由算法存在的问题;接着,为了改进传统Dijkstra算法中无法对存在负权边进行求解的不足,在存在负权边时融入Bellman-Ford算法进行求解,对所有边进行V-1次松弛操作,预处理出源点和汇点到每个节点的距离上界,从而减少计算量;然后通过预处理出源点和汇点到所有节点的最短路径长度的上界,可以减少Dijkstra算法的搜索范围,从而提高搜索效率;最后通过仿真对所提出的算法进行了验证,并与传统的路由算法进行了比较。实验结果表明,所提出的算法在收敛速度、资源利用率等方面均表现优秀,能够有效提高网络的性能和可靠性。因此,以上的研究具有一定的理论和实际意义,对于网络技术的发展具有重要的参考价值。
With the expansion of network scale and the increase of network complexity,the reliability and performance of the network become more and more important.In the programmable network,the routing optimization algorithm becomes one of the important means to improve the network performance and reliability.In the network,routing optimization is a very important issue,because it directly affects the performance and reliability of the network.Traditional routing algorithms have some problems,such as slow convergence,low resource utili zation and so on.In order to solve these problems,this paper proposes a new routing optimization algorithm,which com bines Bellman-Ford's twoway Dijkstra algorithm to calculate the shortest path.Specifically,this paper starts with the programmable network,and analyzes the problems of the traditional routing algorithm;Secondly,in order to improve the traditional Dijkstra algorithm which can not solve the problem of nega tive weighted edges,the Bellman-Ford algorithm is integrated into the Dijkstra algorithm to solve the problem of negative weighted edges,and V-1 relaxation operations are performed on all edges to preprocess the upper bound of the distance from the source and sink to each node,so as to reduce the amount of calculation;Then,the search range of Dijkstra algorithm can be reduced by preprocessing the upper bound of the shortest path length from source and sink to all nodes,so as to improve the search efficiency.Finally,the proposed algorithm is verified by simulation experiments,and compared with the traditional routing algorithm.The experimental results show that the proposed algorithm is excellent in convergence speed and resource utilization,and can effectively improve the performance and reliability of the network.Therefore,the research of this paper has certain theoretical and practical significance,and has important reference value for the development of network technology.
作者
丁玎
张颜皓
DING Ding;ZHANG Yan-hao(Henan University of Economics and Law,Zheng zhou Henan 450002,China)
出处
《计算机仿真》
2024年第7期456-460,共5页
Computer Simulation
关键词
可编程网络
最短路径
路由优化算法
Programmable network
Shortest path
Routing Optimization algorithm
