The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A protocole auto-stabilisant est un protocole qui atteint son comportement prévu quelle que soit la configuration initiale (c'est-à-dire l'état global). Ainsi, un protocole auto-stabilisant s’adapte à n'importe quel chiffre et n'importe quel type of changements de topologie des réseaux : après le dernier changement de topologie, le protocole commence à converger vers son comportement prévu. Cet avantage rend les protocoles auto-stabilisants extrêmement attrayants pour la conception de systèmes distribués hautement fiables sur des réseaux dynamiques. Alors que les protocoles auto-stabilisants conventionnels exigent que les réseaux rester statique lors de la convergence vers les comportements visés, certains travaux récents ont relevé le défi de réaliser l'auto-stabilisation dans des réseaux dynamiques avec changements fréquents de topologie. Cet article présente certains des défis en tant que nouvelle direction de recherche en auto-stabilisation.
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Toshimitsu MASUZAWA, "Self-Stabilization in Dynamic Networks" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 2, pp. 108-115, February 2009, doi: 10.1587/transinf.E92.D.108.
Abstract: A self-stabilizing protocol is a protocol that achieves its intended behavior regardless of the initial configuration (i.e., global state). Thus, a self-stabilizing protocol is adaptive to any number and any type of topology changes of networks: after the last topology change occurs, the protocol starts to converge to its intended behavior. This advantage makes self-stabilizing protocols extremely attractive for designing highly dependable distributed systems on dynamic networks. While conventional self-stabilizing protocols require that the networks remain static during convergence to the intended behaviors, some recent works undertook the challenge of realizing self-stabilization in dynamic networks with frequent topology changes. This paper introduces some of the challenges as a new direction of research in self-stabilization.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.108/_p
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@ARTICLE{e92-d_2_108,
author={Toshimitsu MASUZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Self-Stabilization in Dynamic Networks},
year={2009},
volume={E92-D},
number={2},
pages={108-115},
abstract={A self-stabilizing protocol is a protocol that achieves its intended behavior regardless of the initial configuration (i.e., global state). Thus, a self-stabilizing protocol is adaptive to any number and any type of topology changes of networks: after the last topology change occurs, the protocol starts to converge to its intended behavior. This advantage makes self-stabilizing protocols extremely attractive for designing highly dependable distributed systems on dynamic networks. While conventional self-stabilizing protocols require that the networks remain static during convergence to the intended behaviors, some recent works undertook the challenge of realizing self-stabilization in dynamic networks with frequent topology changes. This paper introduces some of the challenges as a new direction of research in self-stabilization.},
keywords={},
doi={10.1587/transinf.E92.D.108},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - Self-Stabilization in Dynamic Networks
T2 - IEICE TRANSACTIONS on Information
SP - 108
EP - 115
AU - Toshimitsu MASUZAWA
PY - 2009
DO - 10.1587/transinf.E92.D.108
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2009
AB - A self-stabilizing protocol is a protocol that achieves its intended behavior regardless of the initial configuration (i.e., global state). Thus, a self-stabilizing protocol is adaptive to any number and any type of topology changes of networks: after the last topology change occurs, the protocol starts to converge to its intended behavior. This advantage makes self-stabilizing protocols extremely attractive for designing highly dependable distributed systems on dynamic networks. While conventional self-stabilizing protocols require that the networks remain static during convergence to the intended behaviors, some recent works undertook the challenge of realizing self-stabilization in dynamic networks with frequent topology changes. This paper introduces some of the challenges as a new direction of research in self-stabilization.
ER -