Evaluation for Network Loads Using Data Fusion

A solution to evaluate network workload by data fusion is put forward, which can be for surveillance the traffic of interconnected communications network in order to keep the network working well by identifying potentially serious problems in the early stages and evaluating network performance. Through fusing the historic network traffic data and network online traffic data, which is based on least squares- SVM and D-S evidence theory, we have been able to identify several network trends of specific chronic problems effectively and provide insights to Internet Service Providers (ISP) for engineering their network traffic, and planning the capacity accordingly. Evaluation experiments indicate that the merging techniques yield improvements in the accuracy and effectiveness.