Improving the GridRPC Model with Data Persistence and Redistribution

Frédéric Desprez (1) , Emmanuel Jeannot (2, 3)

1 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
2 ALGORILLE - Algorithms for the Grid
3 TADAAM - Topology-Aware System-Scale Data Management for High-Performance Computing

The GridRPC model is an emerging standard promoted by the Global Grid Forum (GGF)1 that defines how to perform remote client-server computation on a distributed architecture. In this model data are sent back to the client at the end of every computation. This implies unnecessary communications when computed data are needed by an other server in further computations. Since, communication time is sometimes the dominant cost of remote computation, this cost has to be lowered. Several tools instantiate the GridRPC model such as NetSolve which is a NES environment developed at the University of Tennessee, Knoxville. In this paper, we present the modifications we made to the NetSolve protocol in order to overcome this drawback. We have developed a set of new functions and data structures that allow clients to order servers to keep data in place and to

Mots clés: gridroc; data persistance; redistribution; persistance de donnees; netsolve; gridrpc

Domaines: Autre [cs.OH]

Frédéric Desprez, Emmanuel Jeannot. Improving the GridRPC Model with Data Persistence and Redistribution. 3rd International Symposium on Parallel and Distributed Computing - ISPDC'2004, 2004, Cork, Ireland. pp.193--200, ⟨10.1109/ISPDC.2004.31⟩. ⟨inria-00100129⟩