Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
A Performance Oriented Migration Framework For The Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Brain Meets Brawn: Why Grid and Agents Need Each Other
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Self adaptivity in Grid computing: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Self-adaptive applications on the grid
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming
ARMS: An agent-based resource management system for grid computing
Scientific Programming
Workflow adaptation as an autonomic computing problem
Proceedings of the 2nd workshop on Workflows in support of large-scale science
On grid performance evaluation using synthetic workloads
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
The organic grid: self-organizing computation on a peer-to-peer network
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A multi-agent organizational model for grid scheduling
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
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Grid is known to be a heterogeneous, distributed and dynamic environment. In order to take fully advantages from grid power, Grid scheduling must take into consideration the environment's constraints and be adaptive. In this work, Grid architecture is fully rethought in terms of agents in order to implement a cooperative and adaptive scheduling. At a macro level, our architecture enables flexible cooperation among its components using high level interaction protocols. At the micro level, agents in charge of scheduling perform an adaptive behaviour since they are able to perceive their environment and its disturbances, to reason and to deliberate about the actions to undertake in order to adapt. This is made possible by the use of Belief-Desire-Intention mechanisms. For that purpose, we propose a conceptual model useful for the perception function. Also, a typology of adaptive rules useful for the deliberation step is given. Component's behaviour are specified and simulated with Petri-Nets.