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...
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Utility Grids implemenf a virtuuliiarion architecture and nl- lowfor sharing of infrastructure for improved Rerum on invesrmenr(RO1J.Wc consider extending the existing Grid infrus...
Abstract. Grid software often unfortunately requires significant changes in existing infrastructure, both in terms of policy and mechanism, instead of accommodating and leveraging ...