Methods of Linear Transfer Speed Estimation in the Data Grid

摘要

Four methods to estimate available channel bandwidth in Data Grid are described. To compare methods Data Grid was emulated and the special data transfer scenarios were designed. For every scenario the estimates of the performance and bandwidth parameters are constructed using linear filtering techniques based on the Kalman filter, least-squares, recursive least-squares and linear stochastic approximation with randomized inputs. The parameters such as step-size were the same during all the experiments to show how well can the algorithms adapt to different data transfer scenarios without any manual adjustment. The results demonstrating the estimation errors of the considered meth-ods are given and disscussed.