Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Data and Metadata Collections for Scientific Applications
HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
High-performance scientific data management system
Journal of Parallel and Distributed Computing
GEDAS: a data management system for data grid environments
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Branch replication scheme: A new model for data replication in large scale data grids
Future Generation Computer Systems
Update propagation technique for data grid
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
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Several data replication techniques have been developed to support high-performance data accesses to the remotely produced scientific data. Most of those techniques, however, do not provide the replica consistency because the data replica is just periodically updated through the remote clients. We have developed two kinds of data replication techniques, called owner-initiated replication and client-initiated replication. Our replication techniques do not need to use file system-level locking functions so that they can easily be ported to any of file systems. In this paper we describe the design and implementation of our two replication techniques and present performance results on Linux clusters.