数据收集传感器网络的负载平衡网络构建方法

传感器网络所具有的集中式数据收集、多跳数据传输、多对一流量模式这3种特征会造成漏斗效应的出现,这会导致严重的包碰撞、网络拥塞、包丢失,甚至拥塞崩溃,还会导致能量消耗的热点的出现,使某些节点甚至整个网络过早死亡.负载平衡技术能够有效缓解漏斗效应的产生.针对静态数据收集传感器网络,基于供求网络的思想,提出了一种分布式算法,将传感器节点组织成交易平衡网络,用于平衡传感器节点的负载.利用这种方法组织而成的网络结构不是一棵负载平衡树,而是一个负载平衡网络.实验结果验证了这种方法的有效性.  

Effects of node processing time on optimal load balancing in tree hierarchy network configurations

In this paper, optimal static load balancing in a tree hierarchy network that consists of a set of heterogeneous host computers is considered. It is formulated as a nonlinear optimization problem. By parametric analysis, we study the effects of the node processing time on the optimal link flow rate (i.e. the rate at which a node forwards jobs to other nodes for remote processing), the optimal node load (i.e. the rate at which jobs are processed at a node), and the optimal mean response time. We show that the entire network can be divided into several independent sub-tree networks with respect to the link flow rates and node loads. We find that the processing time of a node affects only the link flow rates and the loads of nodes which are in the same sub-tree network. Generally, an increase in the processing time of an arbitrary node causes an increase in the link flow rates of its ancestor nodes and itself, but causes a decrease in the link flow rates of its descendant nodes and its collateral nodes in the same sub-tree network. It also causes a decrease in the load of the node itself, but causes an increase in the loads of other nodes in the same sub-tree network. Furthermore, it causes an increase in the mean response time. By conducting numerical experiments, we find that the node processing time possesses a large influence on the system performance measures. Knowledge of the effects of node processing time is useful in designing networks or making a parametric adjustment to improve the system performance.  

机群管理系统消息传输的负载平衡

提出了一种机群管理系统中管理消息的传递方式，使管理消息以树形方式在机群系统内部扩散传递，根据当前系统状态动态生成消息的剩余传播路径，维持机群系统内部的负载平衡。