Please use this identifier to cite or link to this item: https://repositorio.konradlorenz.edu.co/handle/001/1786
Title: Towards a Distributed Systems Model based on Multi-Agent Systems for Reproducing Self-properties
Authors: Rodríguez, Arles
Gómez, Jonatan
Abstract: En este capítulo, presentamos un modelo preliminar de un sistema distribuido (algunos los algoritmos y principios están modelados) que ha sido inspirado por sistemas multi-agentes. Los agentes pueden comunicarse de manera local y establecer una cooperación.
Description: 271-288 p. :ilustraciones, libro electrónico
Abstract: In this chapter, we introduce a preliminary model of a distributed system (some algorithms and principles are modelled) which has been inspired by multi-agent systems. Agents can communicate in a local fashion and establish a cooperation process in order to compute some desired functions as a traditional distributed system, producing an output that is transparent to an end user. Each agent can sense new information, and acts following certain information in a decentralized way. As a result, the output of the implemented functions achieves the same result as a traditional distributed system by using local behaviours. Finally, we show that it is possible to define crashes in the proposed model in a local, natural and easy way. The purpose of doing this is to use this simulated model to introduce behaviours to agents that allow the system to recover from failures by itself, in turn, achieving self-* properties.
Keywords: Sistemas distribuidos
Simetría
Issue Date: 2019
Source: https://editorial.konradlorenz.edu.co/2019/04/di%C3%A1logos-sobre-investigaci%C3%B3n-avances-cient%C3%ADficos-konrad-lorenz.html
Publisher: Fundación Universitaria Konrad Lorenz
URI: https://repositorio.konradlorenz.edu.co/handle/001/1786
ISBN: 9789585804777
Appears in Collections:AA. Libros Electrónicos

Files in This Item:
File Description SizeFormat 
11_Towards a Distributed Systems Model_Arles Rodríguez.pdf1,62 MBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons