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To tackle this problem, in this paper we propose an incentive and scheduling mechanism based on credits with a two-level topology which is designed to operate on different types of shared computing networks, such as P2P, P2P Grid, Opportunistic Grid, Desktop Grid, volunteer computing platforms, among others.
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Ensemble computing encompasses loosely coupled, parallel computation on high-end parallel computers, clustered computational grids and desktop grid environments.
The RESWO approach also offers scientists considerable flexibility of provision at DCI level that may include combinations of clouds, clusters, service grids, and desktop grids.
These allow the LONI Pipeline to provide processing power independently of the available computational environment (e.g., operating systems, grid, mainframe, desktop, etc).
They show the ability of ASyncRE to utilize large grids of desktop computers running the Windows, MacOS, and/or Linux operating systems as well as collections of high performance heterogeneous hardware devices.
The validation of this method is performed with a simulator that fully implements the Promethee scheduler and recreates an hybrid DCI environment including Internet Desktop Grid, Cloud and Best Effort Grid based on real failure traces.
DisDaMin algorithms are based on the DG-ADAJ (Desktop-Grid Adaptive Application in Java), a middleware platform for Desktop Grid used as a deployment mechanism for DisDaMin algorithms.
Desktop grid.
However, some user communities need support for other grid types, like desktop grids or the Amazon EC2 cloud, as well.
A Volunteer Computing system is sometimes described as a Desktop Grid (DG).
XtremWeb and MOON are Desktop Grid systems, meant for deployment on distributed clusters and data centers.
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