大功率干扰下LVS负载均衡集群抗扰动算法

LVS Load Balance Cluster Disturbance Algorithm Under High Power Interference

Linux虚拟服务器(LVS)是一个虚拟的服务器集群系统。在大功率干扰下,LVS集群的抗扰动性能不好,无法有效实现IP负载均衡和任务调度。提出一种基于功率自激的大功率干扰下LVS负载均衡集群抗扰动算法。采用自适应神经模糊系统网络动态干扰监测模型构建网络信息鲁棒性评价模型及Linux嵌入式用户信任感知网络信息信任度评价,计算MAC层两个模糊概念之间的相似度。得到大功率干扰监测数学模型,假设干扰信号表现为一种动态随机噪声信号,实现对大功率干扰下的LVS网络的扰动容错方案设计,对簇节点的接收信号强度(RSSI)信息没有合理开发应用,在簇头生成过程中形成的帧没能实现自适应均衡处理,分析节点之间发射和接收信号的耦合效应,需要实现算法上的改进。仿真结果表明,该算法有效实现IP负载均衡和任务调度,延迟了网络生命周期,提高Linux虚拟服务器的抗扰动性能。

The Linux virtual server (LVS) is a virtual server cluster system. In the high power interference, anti disturbance performance is not good LVS cluster, not the effective implementation of IP load balancing and scheduling tasks. Put for?ward a kind of high power self interference power under LVS load balance cluster algorithm based on anti disturbance. The adaptive neural fuzzy dynamic interference monitoring model of system network construction network information robust?ness evaluation model and Linux embedded user perceived trust network trust evaluation, the calculation of similarity be?tween the MAC layer two fuzzy concept. High power interference monitoring mathematical model, assuming that the interfer?ence signal is shown as a kind of dynamic random noise signal, the realization of fault tolerant scheme design for high pow?er disturbance under the interference of LVS network, the received signal strength on the cluster node (RSSI) information without reasonable development and application, in the formation of the cluster head in the build process failed to achieve adaptive frame balanced, the coupling effect between nodes and emission analysis of the received signal, the need to achieve improvements on the algorithm. The simulation results show that the algorithm is effective to achieve IP load bal?ancing and scheduling, delay the network life cycle. It can improve the anti disturbance performance of Linux virtual server.