CSDL Home C CCGRID 2008 2008 8th International Symposium on Cluster Computing and the Grid (CCGRID '08)
May 19, 2008 to May 22, 2008
As High Performance platforms (Clusters, Grids, etc.) continue to??grow in size, the average time between failures decreases to a critical level. An efficient and reliable fault tolerance protocol plays a key role in High Performance Computing. Rollback recovery is the most common fault tolerance technique used in High Performance Computing and especially in MPI applications. This technique relies on the reliability of the checkpoint storage. Most of the rollback recovery protocols assume that the checkpoint servers machines are reliable. However, in a grid environment any unit can fail at any moment, including components used to connect different administrative domains. Such failures lead to the loss of a whole set of machines, including the more reliable machines used to store the checkpoints in this??administrative domain. Thus it is not safe to rely on the high MTBF (Mean Time Between Failures) of specific machines to store the checkpoint images. This paper introduces a new coordinated checkpoint protocol, which tolerates checkpoint server failures and clusters failures, and ensures a checkpoint storage reliability in a grid environment. To provide this reliability the protocol is based on a replication process. We propose new hierarchical replication strategies, with two different degrees of hierarchy, adapted to the topology of cluster of clusters. Our solution exploits the locality of checkpoint images in order to minimize inter-cluster communication.We evaluate the effectiveness of our two hierarchical replication strategies through simulations against several criteria such as topology and scalability.
Grid, fault-tolerance, Replication, Distributed storage
Fatiha Bouabache, Thomas Herault, Gilles Fedak, Franck Cappello, "Hierarchical Replication Techniques to Ensure Checkpoint Storage Reliability in Grid Environment", CCGRID, 2008, 2008 8th International Symposium on Cluster Computing and the Grid (CCGRID '08), 2008 8th International Symposium on Cluster Computing and the Grid (CCGRID '08) 2008, pp. 475-483, doi:10.1109/CCGRID.2008.95