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

Conduit

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

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

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

CLAP

Patrimony

clarify

mastoid-bone

诽谤

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

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

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