Conduit 发表于 2025-3-23 10:35:41
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.单调性 发表于 2025-3-23 15:14:13
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串通 发表于 2025-3-23 22:05:41
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 cryptogCLAP 发表于 2025-3-23 22:11:54
http://reply.papertrans.cn/71/7012/701198/701198_14.pngPatrimony 发表于 2025-3-24 03:19:01
http://reply.papertrans.cn/71/7012/701198/701198_15.pngclarify 发表于 2025-3-24 06:51:57
http://reply.papertrans.cn/71/7012/701198/701198_16.pngmastoid-bone 发表于 2025-3-24 13:18:53
http://reply.papertrans.cn/71/7012/701198/701198_17.png诽谤 发表于 2025-3-24 16:44:05
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分开如此和谐 发表于 2025-3-24 21:15:32
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–吃 发表于 2025-3-25 01:24:47
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