Scheduling resolution requires the intervention of highly skilled human problemsolvers.
This is a very hard and challenging domain because current systems are becoming
more and more complex, distributed, interconnected and subject to rapidly changing.
A natural Autonomic Computing evolution in relation to Current Computing is to provide
systems with Self-Managing ability with a minimum human interference. This paper
addresses the resolution of complex scheduling problems using cooperative negotiation. A Multi-Agent Autonomic and Meta-heuristics based framework with self-configuring capabilities is proposed.
