Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Anthill: A Framework for the Development of Agent-Based Peer-to-Peer Systems
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Self-Organizing Agents for Grid Load Balancing
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Ant colony optimization theory: a survey
Theoretical Computer Science
Market-Based Resource Allocation in Grids
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Self-Organizing Dynamic Ad Hoc Grids
SASOW '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
Hybrid Resource Discovery Mechanism in Ad Hoc Grid Using Structured Overlay
ARCS '09 Proceedings of the 22nd International Conference on Architecture of Computing Systems
Ant algorithm for grid scheduling problem
LSSC'05 Proceedings of the 5th international conference on Large-Scale Scientific Computing
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Ad hoc grids are inherently complex and are dynamic systems. This is due to decentralized control, heterogeneity in resources of the participating nodes, variations in resource availability and user defined access and use polices for the resources. On the other hand, the universe is full of complex adaptive systems such as the immune system, sand dune ripples, and ant foraging etc. The participants in these systems apply simple local rules, resulting in robustness and self-organization. In this paper, we present an ant colony inspired, microeconomic based resource management system for ad hoc grids. The mechanism is based on the emergent behavior of the participating nodes and adapts itself to changes in the ad hoc grid environment. The mechanism enables the ad hoc grid to self-organize itself under varying workload of the participating nodes. Experiments are executed on PlanetLab to test the scalability and robustness of the proposed mechanism.