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Advance reservation of resources for task execution in grid environments

Izabela Moise 1, * Diana Moise 2 Florin Pop 3 Valentin Cristea 4
* Corresponding author
1 ADEPT - Algorithms for Dynamic Dependable Systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
2 PARIS - Programming distributed parallel systems for large scale numerical simulation
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : The paper proposes a solution for the Grid scheduling problem, addressing in particular the requirement of high performance an efficient algorithm must fulfill. Advance Reservation engages a distributed, dynamic, fault-tolerant and efficient strategy which reserves resources for future task execution. The paper presents the main features of the strategy, the functioning mechanism the strategy is based on and the methods used for evaluating the algorithm.
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https://hal.inria.fr/inria-00343780
Contributor : Diana Moise <>
Submitted on : Tuesday, December 2, 2008 - 5:39:11 PM
Last modification on : Tuesday, June 15, 2021 - 4:05:50 PM
Long-term archiving on: : Monday, June 7, 2010 - 10:16:06 PM

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  • HAL Id : inria-00343780, version 1

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Izabela Moise, Diana Moise, Florin Pop, Valentin Cristea. Advance reservation of resources for task execution in grid environments. The Second International Workshop on High Performance in Grid Middleware (HiPerGRID 2008), Nov 2008, Bucharest, Romania. ⟨inria-00343780⟩

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