40 research outputs found

    Supporting internet-scale multi-agent systems

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    Generative migration of agents

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    Breaking the Curse of Dynamics by Task Migration: Pilot Experiments in the Polder Metacomputer

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    With the advent of high speed networks, distributed cluster computing and metacomputing have assumed an enormous interest. However, software methods and techniques to make the full potential of these distributed environments available, are not yet mature. In this paper, we focus on dynamic load balancing of resources and applications as one of the crucial techniques to optimize performance in distributed environments. Some design and implementation details are described, and early experimental results are presented

    Application Of Time Warp To Parallel Simulations With Asynchronous Cellular Automata

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    A new asynchronous cellular automata model is described. The model provides an experimental and theoretical framework to investigate quantitatively realistic simulations. The parallel execution of such simulations introduces the need of synchronisation of the asynchronous parallel processes. Time Warp is proposed as a synchronisation method for the parallel asynchronous cellular automata. We introduce two new extensions to the Time Warp method to make the method more effective for the application to parallel simulation of asynchronous cellular automata. 1 INTRODUCTION The progress in information technology and the increasing need for more and more detailed simulations of Dynamic Complex Systems (DCS) has resulted in the exploitation of parallelism. The modelling and simulation of dynamic complex systems incorporate the abstraction and detailed representation of basic mechanisms of real world systems. In this respect, simulation allows for the understanding, prediction and optimisation ..

    Multi-Agent Support for Internet-Scale Grid Management

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    Internet-scale computational grids are emerging from various research projects. Most notably are the US National Technology Grid and the European Data Grid projects. One specific problem in realizing wide-area distributed computing environments as proposed in these projects, is effective management of the vast amount of resources that are made available within the grid environment. This paper proposes an agent-based approach to resource management in grid environments, and describes an agent infrastructure that could be integrated with the grid middleware layer. This agent infrastructure provides support for mobile agents that is scalable in the number of agents and the number of resources
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