Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
Connected world-widely distributed computers and data systems establish a global source of processing power and data, called a grid. Key properties of a grid are the fact that com...
In this article, a hybrid optimization method has been proposed consisting of modified ant colony systems (ACSs) and constrained nonlinear programming (NLP) to solve the problems ...
Several works on grid computing have been proposed in the last years. However, most of them, including available software, can not deal properly with some issues related to contro...
Porting on grids complex MPI applications involving collective communications requires significant program modification, usually dedicated to a single grid structure. The diffi...