Title :
Dynamic Network Forecasting Using SimGrid Simulations
Author :
Imbert, Matthieu ; Caron, Eddy
Author_Institution :
LIP Lab., Univ. de Lyon, Lyon, France
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.
Keywords :
grid computing; performance evaluation; scheduling; transport protocols; Pilgrim; SimGrid simulation; dynamic network forecasting; metrology; network transfer scheduling; network transfers completion times; performance prediction framework; Computational modeling; Data models; Forecasting; Network topology; Predictive models; Topology; Forecasting; Network; Simulation;
Conference_Titel :
Cluster Computing (CLUSTER), 2012 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2422-9
DOI :
10.1109/CLUSTER.2012.40