IMS离线计费系统自适应均衡负载算法的研究  被引量:2

Study on Self-adaptive Load Balancing Algorithm of IMS Offline Billing System

在线阅读下载全文

作  者:王青松[1] 马瑞萍[1] 李爽[1] 

机构地区:[1]辽宁大学信息学院,辽宁沈阳110000

出  处:《计算机仿真》2015年第12期341-344,446,共5页Computer Simulation

基  金:国家社科青年基金项目(13CRK027)

摘  要:为了使IMS(IP Multimedia Subsystem)离线计费系统在用户访问量增多时,能够快速的处理用户请求,提出IMS离线计费系统的自适应负载均衡算法应用框架,设计了自适应均衡负载算法,结合加权法和轮询法,根据各计费负载服务器节点的负载情况和可用的资源,进行实时均衡,用户访问量增多时系统会根据算法先将请求分配给权值高服务器节点,如果节点的权值相同系统则会根据轮询法开始进行分配,从而动态适应负载的变化,仿真实验也验证了算法的有效性。In order to process large amount of users' queries efficiently in IMS offline billing system, this paper designed a new application framework and presented a self - adaptive load balancing algorithm based on the new framework combined with the weighted method and polling method. According to the load and avai -lable resources of each node, the real - time balancing adjustment was carried out with the algorithm. When the amount of user in- creases, the system will prioritized the request to the server whose node weight is high. If the weights of the nod - es are the same, the system will distribute with the polling method, the change of load is dynamically adapted. Simula- tion experiments also verify the effectiveness of the proposed algorithm.

关 键 词:自适应负载均衡 离线计费系统 加权法 轮询法 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象