Real world problems such as fire propagation prediction, can often be considered as a compositional combination of multiple, simple but coupled subproblems corresponding to analyt...
John Michopoulos, Panagiota Tsompanopoulou, Elias ...
Abstract. This paper presents a simulator for of a decentralized modular grid scheduler named MaGate. MaGate’s design emphasizes scheduler interoperability by providing intellige...
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
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,...
Increasing complexity of distributed applications and commodity of resources through grids are making the tasks of deploying those applications harder. There is a clear need for s...