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 computação distribuída atraiu atenção considerável e sistemas distribuídos em larga escala foram projetados e desenvolvidos. Um sistema distribuído tem inerentemente possibilidade de tolerância a falhas devido à sua redundância. Assim, muitas investigações foram feitas para projetar algoritmos distribuídos tolerantes a falhas. Este artigo apresenta dois paradigmas promissores, autoestabilização e liberdade de espera, para projetar algoritmos distribuídos tolerantes a falhas e discute alguns assuntos importantes do ponto de vista da engenharia de algoritmos.
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Toshimitsu MASUZAWA, Michiko INOUE, "Fault-Tolerance of Distributed Algorithms: Self-Stabilization and Wait-Freedom" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 3, pp. 550-560, March 2000, doi: .
Abstract: Distributed computation has attracted considerable attention and large-scale distributed systems have been designed and developed. A distributed system inherently has possibility of fault tolerance because of its redundancy. Thus, a great deal of investigation has been made to design fault-tolerant distributed algorithms. This paper introduces two promising paradigms, self-stabilization and wait-freedom, for designing fault-tolerant distributed algorithms and discusses some subjects important from the point of view of algorithm engineering.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_3_550/_p
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@ARTICLE{e83-d_3_550,
author={Toshimitsu MASUZAWA, Michiko INOUE, },
journal={IEICE TRANSACTIONS on Information},
title={Fault-Tolerance of Distributed Algorithms: Self-Stabilization and Wait-Freedom},
year={2000},
volume={E83-D},
number={3},
pages={550-560},
abstract={Distributed computation has attracted considerable attention and large-scale distributed systems have been designed and developed. A distributed system inherently has possibility of fault tolerance because of its redundancy. Thus, a great deal of investigation has been made to design fault-tolerant distributed algorithms. This paper introduces two promising paradigms, self-stabilization and wait-freedom, for designing fault-tolerant distributed algorithms and discusses some subjects important from the point of view of algorithm engineering.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Fault-Tolerance of Distributed Algorithms: Self-Stabilization and Wait-Freedom
T2 - IEICE TRANSACTIONS on Information
SP - 550
EP - 560
AU - Toshimitsu MASUZAWA
AU - Michiko INOUE
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2000
AB - Distributed computation has attracted considerable attention and large-scale distributed systems have been designed and developed. A distributed system inherently has possibility of fault tolerance because of its redundancy. Thus, a great deal of investigation has been made to design fault-tolerant distributed algorithms. This paper introduces two promising paradigms, self-stabilization and wait-freedom, for designing fault-tolerant distributed algorithms and discusses some subjects important from the point of view of algorithm engineering.
ER -