Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling

Research concerning organization and coordination within multi-agent systems continues to draw from a variety of architectures and methodologies. The work presented in this paper combines techniques from game theory and multi-agent systems to produce self-organizing, polymorphic, lightweight, embedded agents for systems scheduling within a large-scale real-time systems environment. Results show how this approach is used to experimentally produce optimum real-time scheduling through the emergent behavior of thousands of agents. These results are obtained using a SWARM simulation of systems scheduling within a High Energy Physics experiment consisting of 2500 digital signal processors.Comment: Fourth International Conference on Hybrid Intelligent Systems (HIS), Kitakyushu, Japan, December, 200

COORDINATION AND CONTROL OF LARGE-SCALE COMPLEX IT SYSTEMS: AN INTERDISCIPLINARY REVIEW OF THE LITERATURE

Since the emergence and widespread adoption of computer networks in the 1990s, developed societies have grown increasingly dependent on complex software-intensive systems. Such systems underpin business-critical applications in domains ranging from health care and financial markets to manufacturing and defense, where failure would have profound social and economic consequences Sommerville et al. (2012). These large-scale complexes IT systems are usually created and evolved dynamically through the integration of independently built and controlled heterogeneous components