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Programmation répartie, optimisation par agent mobile

Abstract : A distributed application needs to communicate and to exchange information between various entities. The mobile agent appears in this context as a promising solution, allowing the construction of flexible applications, adaptable to the constraints of the application and to the execution environment. In this thesis, mobility is studied from two angles. First, when sending the mobile agent to a server, the distant services are adapted to the requirements of the clients such that it allows the reduction of the network traffic. In this case, we make the communication with a hybrid intelligent agent. This agent uses two modes: client/server, or migration (local exchanges), to carry out the client tasks. We use the Markov decision process to find the optimal policy for agent displacement. Secondly, mobile agents are studied as computation entites which have the capability to migrate from overloaded to underloaded machines. In this work, we propose an architecture based on mobile agents technology. This architecture is decentralized and the load balancing is done in a dynamic way. Decisions are made localy and a mobile agent is used to build a global vision of the system. Experimentation on concrete problems makes it possible to validate the proposed algorithms.
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Contributor : Hal System <>
Submitted on : Monday, January 8, 2007 - 3:27:35 PM
Last modification on : Tuesday, February 5, 2019 - 12:12:10 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 8:46:38 PM


  • HAL Id : tel-00123168, version 1


Salah El Falou. Programmation répartie, optimisation par agent mobile. Autre [cs.OH]. Université de Caen, 2006. Français. ⟨tel-00123168⟩



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