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Titlebook: On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE; OTM Confederated Int Robert Meersman,Zahir Tari Conference

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樓主: patch-test
11#
發(fā)表于 2025-3-23 10:35:41 | 只看該作者
A Comparative Analysis Between EGEE and Grid,ay Workload Management Systemsg conditions of the computing environment. In this contribution a comparative analysis between two major grid scheduling philosophies is shown: a semi-centralized approach, represented by the EGEE Workload Management System, and a fully distributed approach, represented by the Grid.ay Metascheduler.
12#
發(fā)表于 2025-3-23 15:14:13 | 只看該作者
Grid and HPC Dynamic Load Balancing with Lattice Boltzmann Modelsent a novel load balancing model based on Lattice Boltzmann Cellular Automata. Using numerical simulations our model is compared to diffusion algorithms adopted on HPC load balancing and to agent-based balancing strategies on Grid systems. We show how the proposed model generally gives better perfor
13#
發(fā)表于 2025-3-23 22:05:41 | 只看該作者
Trust Enforcement in Peer-to-Peer Massive Multi-player Online Gamesdent performance benefits. An example of such an application of P2P computing is P2P Massive Multi-user Online Games, where cheating by players is simple without centralized control or specialized trust management mechanisms. The article presents new techniques for trust enforcement that use cryptog
14#
發(fā)表于 2025-3-23 22:11:54 | 只看該作者
15#
發(fā)表于 2025-3-24 03:19:01 | 只看該作者
16#
發(fā)表于 2025-3-24 06:51:57 | 只看該作者
17#
發(fā)表于 2025-3-24 13:18:53 | 只看該作者
18#
發(fā)表于 2025-3-24 16:44:05 | 只看該作者
A Mixed MPI-Thread Approach for Parallel Page Ranking Computatione availability of a rapid, scalable technique for PageRank computation of a large web graph. In this paper, we propose an efficient parallelized version of the PageRank algorithm based on a mixed MPI and multi-threading model. The parallel adaptive PageRank algorithm is implemented and tested on two
19#
發(fā)表于 2025-3-24 21:15:32 | 只看該作者
A Decentralized Strategy for Genetic Scheduling in Heterogeneous Environmentsa distributed, fault-tolerant, scalable and efficient solution for optimizing task assignment. The scheduler uses a combination of genetic algorithms and lookup services for obtaining a scalable and highly reliable optimization tool. The experiments have been carried out on the MonALISA monitoring e
20#
發(fā)表于 2025-3-25 01:24:47 | 只看該作者
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