A New QoC-Based Approach for Resource Allocation in Distributed Systems

The trend of grid computing available on the Internet has generated challenges to the allocation of resources provided by this type of environment. Once a grid computing is context sensitive system, so its possible to deal jointly with user's satisfaction and system performance. In this sense the quality of context can be used to process the context informations and provide several management decisions. So in this paper we propose a model to deal with user's satisfaction and system performance using quality of context. Experimental results shows improvements in the environment performance when applied our model in a grid scenario for the most execution tests.