Improvement of the Packer-pair Based Path Capacity Estimation Methods
Statistics analyzing of the measurement samples is the crucial problem in packet-pair based path capacity estimation.In this paper,an improved packet pair based path capacity estimation method has been proposed,which treats the end to end path as dispersed control system,and uses path capacity to describe it′s states.The method first collects enough measurement samples by packet pair probing which send a back to back packet pair sequence;then uses the Kalman Filer algorithm to statistics analyze the measurement samples,to accurately estimate path capacity.The filer equations are built and the path capacity estimation progress is given also in this paper.Experiments show that,when comparing with pathrate,the estimation accuracy is improved while both the probe cost and measurement time are decreased.