The grid has emerged as a novel paradigm that supports seamless cooperation of distributed, heterogeneous computing resources in addressing highly complex computing and data manage...
Chris Mattmann, Nenad Medvidovic, Paul M. Ramirez,...
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Advances in grid computing have recently sparkled the research and development of Grid problem solving environments for complex design. Parallelism in the form of distributed compu...
The aim of Participatory Design (PD) is to involve the users in the design. Even though the research has shown the success of PD projects in empowering users, little has been said...
Smart Messages (SMs) are migratory execution units used to describe distributed computations over mobile ad hoc networks of embedded systems. The main benefits provided by SMs ar...