Dynamic Network Forecasting Using SimGrid Simulations

Abstract

To be able to efficiently schedule network transfers on computing platforms such as clusters, grids or clouds, accurate and timely predictions of network transfers completion times are needed. We designed a new metrology and performance prediction framework called Pilgrim which offers a service predicting the completion times of current and concurrent TCP transfers. We describe Pilgrim and show some experimental results comparing the predictions to the real transfer completion times.