We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
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,...
The growing reliance on services provided by software applications places a high premium on the reliable and efficient operation of these applications. A number of these applicat...
Swapna S. Gokhale, Aniruddha S. Gokhale, Jeffrey G...
In this paper we describe our experience in performance analysis of the software architecture of the NICE case study which is responsible for providing several secure communicatio...
Simonetta Balsamo, Moreno Marzolla, Antinisca Di M...
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...