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FGCS
2007
160views more  FGCS 2007»
13 years 7 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
HPDC
2002
IEEE
14 years 15 days ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
CCGRID
2003
IEEE
14 years 26 days ago
Scheduling Distributed Applications: the SimGrid Simulation Framework
— Since the advent of distributed computer systems an active field of research has been the investigation of scheduling strategies for parallel applications. The common approach...
Arnaud Legrand, Loris Marchal, Henri Casanova
KES
2006
Springer
13 years 7 months ago
Scheduling Jobs on Computational Grids Using Fuzzy Particle Swarm Algorithm
Abstract. Grid computing is a computing framework to meet the growing computational demands. This paper introduces a novel approach based on Particle Swarm Optimization (PSO) for s...
Ajith Abraham, Hongbo Liu, Weishi Zhang, Tae-Gyu C...
TGC
2010
Springer
13 years 5 months ago
A Novel Resource-Driven Job Allocation Scheme for Desktop Grid Environments
In this paper we propose a novel framework for the dynamic allocation of jobs in grid-like environments, in which such jobs are dispatched to the machines of the grid by a centrali...
Paolo Bertasi, Alberto Pettarin, Michele Scquizzat...