LeHavreV1, France, Analysis, bibRecord, 000E52

Dynamic Placement Using Ants for Object Based Simulations

Identifieur interne : 000E52 ( France/Analysis ); précédent : 000E51; suivant : 000E53

Dynamic Placement Using Ants for Object Based Simulations

Auteurs : Cyrille Bertelle [France] ; Antoine Dutot [France] ; Frédéric Guinand [France] ; Damien Olivier [France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.

RBID : ISTEX:86F02A6F73616FBB8601044F1E6EEE3AE30DFF86

Abstract

Abstract: A distributed application may be considered as a set of interacting entities continuously evolving. Such application can be modeled as a graph with one-to-one mappings between vertices and entities and between edges and communications. Performances depend directly on a good load balancing of the entities between available computing devices and on the minimization of the impact of the communications between them. However, both objectives are contradictory and good performances are achieved if and only if a good tradeoff is found. Our method for finding such a tradeoff is new and based on colored ant colonies. Each computing resource is associated to one ant colony characterized by a color, allowing an implicit consideration of the load balancing constraint. Then, using colored pheromones, ants are just seeking for communicating structures. The method operates on graphs which structural and numerical parameters may change dynamically during the execution.

Url:

https://api.istex.fr/document/86F02A6F73616FBB8601044F1E6EEE3AE30DFF86/fulltext/pdf

DOI: 10.1007/978-3-540-39964-3_80

Affiliations:

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to stream Main, to step Curation: 001508
to stream Main, to step Exploration: 001508
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ISTEX:86F02A6F73616FBB8601044F1E6EEE3AE30DFF86

Le document en format XML

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   |type=    RBID
   |clé=     ISTEX:86F02A6F73616FBB8601044F1E6EEE3AE30DFF86
   |texte=   Dynamic Placement Using Ants for Object Based Simulations
}}

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Dynamic Placement Using Ants for Object Based Simulations

Dynamic Placement Using Ants for Object Based Simulations

Source :

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

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