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This paper presents a new system, called NetSolve, that allows users to access computational resources , such as hardware and software, distributed across the network. The development of NetSolve was motivated by the need for an easy-to-use, eecient mechanism for using computational resources remotely. Ease of use is obtained as a result of diierent(More)
We presented the SimGrid simulation framework whose goal is to provide a generic evaluation tool for large-scale distributed computing. Its main components are: two APIs for researchers who study algorithm and need to prototype simulations quickly, and two for developers who can develop applications in the comfort of the simulated world before deploying(More)
1. Abstract This paper discusses preliminary work on standardizing and implementing a remote procedure call (RPC) mechanism for grid computing. The GridRPC API is designed to address one of the factors that has hindered widespread acceptance of grid computing – the lack of a standardized, portable, and simple programming interface. In this paper, we examine(More)
—Ensembles of distributed, heterogeneous resources, also known as Computational Grids, have emerged as critical platforms for high-performance and resource-intensive applications. Such platforms provide the potential for applications to aggregate enormous bandwidth, computational power, memory, secondary storage, and other resources during a single(More)
Desktop grids are popular platforms for high throughput applications, but due their inherent resource volatility it is difficult to exploit them for applications that require rapid turnaround. Efficient desktop grid execution of short-lived applications is an attractive proposition and we claim that it is achievable via intelligent resource selection. We(More)
This paper presents a new system, called NetSolve, that allows users to access computational resources, such as hardware and software, distributed across the network. The development of NetSolve was motivated by the need for an easy-to-use, efficient mechanism for using computational resources remotely. Ease of use is obtained as a result of different(More)
Many applications in scientific and engineering domains are structured as large numbers of independent tasks with low granularity. These applications are thus amenable to straightforward parallelization, typically in master-worker fashion, provided that efficient scheduling strategies are available. Such applications have been called divisible-loads because(More)
Summary form only given. Desktop resources are attractive for running compute-intensive distributed applications. Several systems that aggregate these resources in desktop grids have been developed. While these systems have been successfully used for many high throughput applications there has been little insight into the detailed temporal structure of CPU(More)