P. Arbenz, W. Gander, and J. Mori. The Remote Computational System. Parallel Computing, 23(10):14211428, 1997.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....pour laborer des environnements de rsolution de problmes dans un environnement de metacomputing. On appelle gnralement ces environnements des serveurs de calculs ou NES (Network Enabled Servers) Plusieurs outils offrant cette fonctionnalit comme NetSolve [NET ] NINF [NIN ] NEOS [NEO ] ou RCS [ARB 97] sont dj disponibles mais aucun d entre eux ne gre pour l instant spcifiquement les rseaux hirarchiques de machines. Cet article prsente l architecture de DIET (Distributed Interactive Engineering Toolbox) un ensemble hirarchique de composants pour l laboration d applications bases sur des ....

ARBENZ P., GANDER W., MORI J., "The Remote Computational System", Parallel Computing, vol. 23, num. 10, 1997, p. 1421--1428.

....construct if we had instantaneous access to a supercomputer from our desktop. The RPC approach [28, 29] is a good candidate to build Network Enabled Servers (NES) environments on the Grid. Several tools that provide this functionnality exist like NetSolve [10] NINF [33] NEOS [32] OVM [7] or RCS [2]. This approach leads us to integrate an interface to NetSolve which is a client agent servers application that enables users to solve complex scienti c problems remotely by accessing hardware and software resources distributed across a network. A load balancing policy is used by NetSolve to ....

P. Arbenz, W. Gander, and J. Mori. The Remote Computational System. Parallel Computing, 23(10):14211428, 1997.

....for short, is a good candidate as a viable Grid middleware that offers a simple yet powerful programming paradigm for programming on the Grid. Several systems that facilitate whole or parts of the paradigm are already in existence, such as Neos [23] Netsolve [19] Nimrod G [1] Ninf [62] and RCS [6], and we feel that pursuit of a common design in GridRPC, as had been done for MPI for message passing, will bring benefits of standardized programming model to the Grid world. This section will introduce the NES Grid RPC features as an effective, simple to use programming model and middleware for ....

P. Arbenz, W. Gander, and M. Oettli. The remote computational system. Parallel Computing, 23(10):1421--1428, 1997.

....Input files Tasks Storage Host Network User s host and storage Site Fig. 1. Application and Grid Model aging whatever software infrastructure is available in the distributed environment. Access to remote computational resources can be facilitated by various Grid infrastructure projects [2, 19, 3, 20, 21, 22], and several approaches can be used for implementing the distributed storage infrastructure (e.g. low level systems such as GASS [23] and IBP [24] or distributed le systems such as AFS) Figure 1 depicts both our application model and our Grid model. We do not impose any constraints on the ....

P. Arbenz, W. Gander, and M. Oettli. The Remote Computational System. Parallel Computing, 23(10):1421-1428, 1997.

....ne 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 scienti c and engineering simulations that are enabled by NES systems in the Grid context. 1 Introduction Several projects [2, 3, 4, 5, 6, 7] aim at providing simple ways (APIs, GUIs) to execute software remotely on the Computational Grid. Typically the software executed by servers consists of scienti c libraries or programs. In what follows, we use the term module to denote that software, whether it is part of a library, a stand alone ....

P. Arbenz, W. Gander, and M. Oettli. The Remote Computational System. Parallel Computing, 23(10):1421-1428, 1997.

....be orders of magnitude larger than the number of available processors. The implementation of APST aims at leveraging whatever software infrastructure is available in the distributed environment. Access to remote computational resources can be facilitated by various Grid infrastructure projects [2, 19, 3, 20, 21, 22], and several approaches can be used for implementing the distributed storage infrastructure (e.g. low level systems such as GASS [23] and IBP [24] or distributed le systems such as AFS) Figure 1 depicts both our application model and our Grid model. We do not impose any constraints on the ....

P. Arbenz, W. Gander, and M. Oettli. The Remote Computational System. Parallel Computing, 23(10):1421-1428, 1997. 16

....00 00 11 11 Host Network User s host and storage Site Fig. 1. Application and Grid Model aging whatev er software infrastructure is av ailable in the distributed env ronment. Access to remote computational resources can be facilitated byv arious Grid infrastructure projects [2, 19, 3, 20, 21, 22], and sev eral approaches can be used for implementing the distributed storage infrastructure (e.g. low lev el systems such as GASS [23] and IBP [24] or distributed file systems such as AFS) Figure 1 depicts both our application model and our Grid model. We do not impose any constraints on ....

P. Ar enz, W. Gander, and M. Oettli. The Remote Computational System. Parallel Computing, 23(10):1421--1428, 1997.

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P. Arbenz, W. Gander, and J. Mori. The Remote Computational System. Parallel Computing, 23(10):14211428, 1997.

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P. Arbenz, W. Gander, and J. Mor. The Remote Computational System. Parallel Computing, 23(10):1421--1428, 1997.

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