Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
Understanding the characteristics of information flow in large scale real-time distributed virtual simulations (RT-DVS) is important for the development of network services that a...
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,...
—Advances in Cloud computing enable new possibilities to Internet applications developers. Previously, the main concern of Internet applications developers was deployment and hos...
Bhathiya Wickremasinghe, Rodrigo N. Calheiros, Raj...
Distributed applications execute in environments that can include different network architectures as well as a range of compute platforms. Furthermore, these resources are shared ...