The Computational Grid is a promising platform for the efficient execution of parameter sweep applications over large parameter spaces. To achieve performance on the Grid, such applications must be scheduled so that shared data files are strategically placed to maximize reuse, and so that the application execution can adapt to the deliverable performance potential of target heterogeneous, distributed and shared resources. Parameter sweep applications are an important class of applications and would greatly benefit from the development of Grid middleware that embeds a scheduler for performance and targets Grid resources transparently. In this paper we describe a user-level Grid middleware project, the AppLeS Parameter Sweep Template (APST), that uses application-level scheduling techniques [1] and various Grid technologies to allow the efficient deployment of parameter sweep applications over the Grid. We discuss...

The Computational Grid [1] is a promising platform for running large scale scientic applications. It provides a base software infrastructure that allows for the development of \middleware" aimed at deploying applications on Grid resources. The NetworkEnabled Server (NES) paradigm is a good candidate as a viable Grid middleware that oers a simple yet powerful programming model (RPC-style programming for the Grid). This paradigm is amenable to many large-scale applications and especially to scienti c simulations. This paper builds on the experience acquired while building two well-known NES systems (Ninf [2] and NetSolve [3]). Our goal is to clarify major NES design issues as well as to dene a common set of services and concepts that are necessary for implementing and deploying NES systems on the Computational Grid. This paper also describes current work with scientic and engineering simulations that are enabled by NES systems in the Grid context.