DTM: a service for managing data persistency and data replication in network-enabled server environments

International audienceNetwork-Enabled Servers (NES) environments are valuable candidates to provide simple computing grid access. These environments allow transparent access to a set of computational servers via Remote Procedure Call mechanisms. In this context, a challenge is to increase performances by decreasing data tra?c. This paper presents DTM (Data Tree Manager) a data management service for NES environments. Based on the notions of data persistency and data replication, DTM proposes a set of e?cient policies which minimise computation times by decreasing data transfers between the clients and the platform. From the end-user point of view, DTM is accessible through a simple and transparent API. In the remainder, we describe DTM and its implementation in the DIET platform. We also present a set of experimental results which exhibit the feasibility and the e?ciency of our approach

Improving the GridRPC Model with Data Persistence and Redistribution

held with Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks - HeteroPar'04. Colloque avec actes et comité de lecture. internationale.International audienceThe 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 t