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11#
發(fā)表于 2025-3-23 12:26:22 | 只看該作者
GMA+ – A GMA-Based Monitoring and Management Infrastructure for Gridructure to GMA and provides interfaces which match Grid Service standards for all its components and defines metadata for monitoring events. It is a novel infrastructure for Grid monitoring and management with highly modularity, usability and scalability.
12#
發(fā)表于 2025-3-23 14:30:19 | 只看該作者
An Online Scheduling Algorithm for Grid Computing Systemsm for Grid [1], [8], [9], [10]. In this paper, we propose a new on-line heuristic scheduling algorithm. We show that our scheduling algorithm has better performance than previous scheduling algorithms by extensive simulation.
13#
發(fā)表于 2025-3-23 19:10:52 | 只看該作者
Multisite Task Scheduling on Distributed Computing Gridt forward. Then, a multisite Distributed Scheduling Server is designed and its prototype is implemented. A heuristic strategy, Clustering-based Grid Resource Selection algorithm, is described. Experiment indicates the scheduler and the algorithm are effective.
14#
發(fā)表于 2025-3-24 01:48:28 | 只看該作者
Architecture of Grid Resource Allocation Management Based on QoSorward the architecture of GRAM based on QoS. Through mapping, converting and negotiating the QoS parameters, it can implant the user’s requirement about QoS in the process of resource allocation management, and connect Grid QoS with GRAM very well. All these provide a reasonable consulting model for QoS and resource allocation management in grid.
15#
發(fā)表于 2025-3-24 02:20:40 | 只看該作者
16#
發(fā)表于 2025-3-24 08:59:27 | 只看該作者
Effective OpenMP Extensions for Irregular Applications on Cluster Environments executed in parallel. These OpenMP directives include scheduling for irregular loops, inspector/executor for parallelizing irregular reduction, and eliminating ordered loops. We also introduce implementation strategies with respect to these extensions.
17#
發(fā)表于 2025-3-24 14:02:22 | 只看該作者
Resource Management and Scheduling in Manufacturing GridGRS). The former, MGIS, provides fundamental mechanisms for remote resource encapsulating, registration, and monitoring, and the latter, MGRS, performs scheduling roles as Global Process Planning (GPP) analyzing, resource discovery, resource selection, and resource mapping.
18#
發(fā)表于 2025-3-24 16:18:29 | 只看該作者
19#
發(fā)表于 2025-3-24 21:30:33 | 只看該作者
https://doi.org/10.1007/978-1-4899-6068-9o the genetic algorithm to schedule . jobs to . machines on the Grid. Experiments on a small Grid of four machines have shown a significant reduction of the average execution time by the new job scheduling approach.
20#
發(fā)表于 2025-3-24 23:56:07 | 只看該作者
https://doi.org/10.1007/978-3-030-55262-6nput places. We construct a simple model for the resource scheduling in grid computing using EHLTPN. A definition of Reachable Scheduling Graph (RSG) of EHLTPN to analyze the timing property of the resource scheduling is given in this paper. Two algorithms can be use to settle the “state explosion” problem while constructing RSG of EHLTPN.
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