Abstract—Significant achievements have been made for automated allocation of cloud resources. However, the performance of applications may be poor in peak load periods, unless t...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
Branch-and-bound algorithms are general methods applicable to various combinatorial optimization problems and parallelization is one of the most hopeful methods to improve these a...
Grid computing has emerged as a new paradigm of distributed computing technology on large-scale resource sharing and coordinated problem solving. Based on a proposed Web service-b...
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
The rising complexity, customization and short time to market of modern digital systems requires automatic methods for generation of high performance architectures for such system...
Jelena Trajkovic, Mehrdad Reshadi, Bita Gorjiara, ...