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IMS网络中最优负载均衡的服务触发算法研究

Research on Service Triggering Algorithm for Optimal Load Balancing in IMS Network
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摘要 随着电力系统中IMS系统承载业务种类的不断增加,网络负载的不断扩大,这就对IMS网络的负载均衡能力提出了很高的要求。文中提出了一种应用于IMS系统网络中的异构多应用服务器系统的负载均衡方案。在IMS系统网络中,服务呼叫会话控制功能利用由归属订户服务器下载的初始过滤标准并通过会话发起协议消息生成服务触发器。为了在具有不同结构的多个应用服务器之间进行负载均衡,实现资源优化,应设置服务触发器的权重值。在以前的系统中,权重值往往由操作员手动设置,而该方法是自动计算负载均衡的最佳权重。此外,还提出了简化算法来减少特定情况下的计算量。仿真结果表明,所提方案在负载均衡中优于以前的方案,并以快速收敛的方式自动调整系统的变化。 With the continuous increase of IMS system load types and network load in the power system,the load balancing of IMS network is highly required.We propose a load balancing scheme for heterogeneous multi-application server system in IMS network.In the IMS network,serving call session control function uses the initial filter criterion downloaded by home subscriber server and generates service triggers through session initiation protocol.In order to balance the load among multiple AS with different structures and realize resource optimization,the weight value of service trigger should be set.In previous systems,the weights are often set manually by operators,and the proposed method is to automatically calculate the optimal weights of load balancing.In addition,a simplified algorithm is proposed to reduce the computational complexity in specific cases.The simulation shows that the proposed scheme is superior to the previous ones in load balancing and adjusts the change of the system automatically in a fast convergence way.
作者 张庆 冯晨 余江涛 罗威 任祥 ZHANG Qing;FENG Chen;YU Jiang-tao;LUO Wei;REN Xiang(State Grid Shanghai Municipal Electric Power Company,Shanghai 200122,China;Nanjing Nanrui Information and Communication Technology Co.,Ltd.,Nanjing 211000,China;School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处 《计算机技术与发展》 2019年第10期191-195,共5页 Computer Technology and Development
基金 国家自然科学基金面上项目(61771252,61471203)
关键词 IMS 异构系统 多应用服务器 负载均衡 权重值 服务触发算法 IMS heterogeneous system multi-application server load balancing weight value service triggering algorithm
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