Transfer Speed Estimation for Adaptive Scheduling in the Data Grid
Mikhail A. Panshenskov, Alexander Vakhitov · 2009
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 results demonstrating the estimation for the available bandwidth parameters are provided and explained.