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FLOW BASED DYNAMIC LOAD BALANCING FOR PASSIVE NETWORK MONITORING

机译:基于流量的无源网络动态负载平衡

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摘要

Cluster based packet capturing is a way of overcoming the speed of a slow disk to tap a high-speed network. Most cluster-based architectures, however, do not consider load balancing as an important issue. In order to perform monitoring at full line speed without losing packets, we accept that the balance among back-end servers must be maintained. Conventional methods rely on fixed or random routing where a "source-destination" address pair is used as a unit for load balancing. Instead of using such a coarse grain unit, we use a flow, a "source-destination-port" pair. In addition, we adaptively balance loads of back-end servers using a flow load estimation technique. The proposed methods have been validated by performing a trace-based simulation. Compared to the existing routing approaches, our method balances load of back-end servers. From a simulation, we find that for protocols having a transient load with a small variance in flow length, we may use simple methods of load balancing such as round-robin, but for those having a persistent load with a large variance, we need to use a flow estimation technique.
机译:基于群集的数据包捕获是一种克服慢速磁盘窃听高速网络速度的方法。但是,大多数基于群集的体系结构并不将负载平衡视为重要问题。为了以全线速度执行监视而不丢失数据包,我们接受必须保持后端服务器之间的平衡。常规方法依赖于固定或随机路由,其中​​“源-目标”地址对用作负载平衡的单元。代替使用这种粗粒度单位,我们使用一个流,即“源-目标-端口”对。此外,我们使用流量负载估算技术自适应地平衡了后端服务器的负载。通过执行基于跟踪的仿真,已验证了所提出的方法。与现有的路由方法相比,我们的方法平衡了后端服务器的负载。从仿真中我们发现,对于具有短暂负载且流量长度变化较小的协议,我们可以使用简单的负载均衡方法,例如轮询;但是对于那些具有较大负载的持久负载的协议,我们需要使用流量估算技术。

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