Adaptive Sampling Measurement for High Speed Network Traffic Flow
The characteristic of network traffic volume is a crucial guidance for the network capacity of transferring online, and also a key parameter for network efficient and planning. Unfortunately, it is more difficult to measure full traffic trace with the advent of high speed network, so the investigation of traffic sampling measure becomes the focus of the study of high speed network traffic measurement. This paper analysis and study on sampling measurement technology, and then introduces an adaptive sampling measurement in detail. It is an improvement over fixed granularity systematic sampling. In course of measurement, the adaptive sampling algorithm adjusts the sampling granularity according to the packet arrival interval automatically. In this way, the adaptive sampling is much more accurate and economical than the static sampling method.
This paper proposes an integrated solution, which based on probability routing, using multi-domain path selection, multi-domain path negotiation and intra-domain QoS-based routing algorithm, to provide multi-QoS based (such as bandwidth and hops) multi-domain circuit provision in a few minutes. This method has been used in the SFS for Shanghai Telecom.