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
Quando sistemas P2P são usados para sistemas sensíveis a dados, a disponibilidade dos dados tornou-se uma questão importante. A replicação baseada em disponibilidade usando disponibilidade de nó individual é o método mais popular para manter alta disponibilidade de dados de forma eficiente. No entanto, como a disponibilidade individual do nó é derivada das informações individuais de vida de cada nó, a replicação baseada na disponibilidade pode selecionar réplicas inúteis. Neste artigo, exploramos o esquema de incentivos relativo baseado em MTTF (Mean Time To Failure) para uma replicação baseada em disponibilidade mais eficiente. O relativo MTTF é usado para classificar o réplicas garantidas que pode obter o disponibilidade do nó de incentivo, e essas réplicas ajudam a reduzir o tráfego de dados e o número de réplicas sem perder a disponibilidade dos dados de destino. Os resultados das simulações baseadas em rastreamento mostram que a replicação usando nosso relativo MTTFO esquema de incentivos baseado em tecnologia atinge a mesma meta de disponibilidade de dados com 41% menos tráfego de dados e 24% menos réplicas.
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Kyungbaek KIM, "Relative MTTF-Based Incentive Scheme for Availability-Based Replication in P2P Systems" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 12, pp. 3403-3406, December 2010, doi: 10.1587/transinf.E93.D.3403.
Abstract: When P2P systems are used for data sensitive systems, the data availability has become an important issue. The availability-based replication using individual node availability is the most popular method keeping high data availability efficiently. However, since the individual node availability is derived by the individual lifetime information of each node, the availability-based replication may select useless replicas. In this paper, we explore the relative MTTF (Mean Time To Failure)-based incentive scheme for the more efficient availability-based replication. The relative MTTF is used to classify the guaranteed replicas which can get the incentive node availability, and these replicas help reduce the data traffic and the number of replicas without losing the target data availability. Results from trace-driven simulations show that the replication using our relative MTTF-based incentive scheme achieves the same target data availability with 41% less data traffic and 24% less replicas.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3403/_p
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@ARTICLE{e93-d_12_3403,
author={Kyungbaek KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Relative MTTF-Based Incentive Scheme for Availability-Based Replication in P2P Systems},
year={2010},
volume={E93-D},
number={12},
pages={3403-3406},
abstract={When P2P systems are used for data sensitive systems, the data availability has become an important issue. The availability-based replication using individual node availability is the most popular method keeping high data availability efficiently. However, since the individual node availability is derived by the individual lifetime information of each node, the availability-based replication may select useless replicas. In this paper, we explore the relative MTTF (Mean Time To Failure)-based incentive scheme for the more efficient availability-based replication. The relative MTTF is used to classify the guaranteed replicas which can get the incentive node availability, and these replicas help reduce the data traffic and the number of replicas without losing the target data availability. Results from trace-driven simulations show that the replication using our relative MTTF-based incentive scheme achieves the same target data availability with 41% less data traffic and 24% less replicas.},
keywords={},
doi={10.1587/transinf.E93.D.3403},
ISSN={1745-1361},
month={December},}
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TY - JOUR
TI - Relative MTTF-Based Incentive Scheme for Availability-Based Replication in P2P Systems
T2 - IEICE TRANSACTIONS on Information
SP - 3403
EP - 3406
AU - Kyungbaek KIM
PY - 2010
DO - 10.1587/transinf.E93.D.3403
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2010
AB - When P2P systems are used for data sensitive systems, the data availability has become an important issue. The availability-based replication using individual node availability is the most popular method keeping high data availability efficiently. However, since the individual node availability is derived by the individual lifetime information of each node, the availability-based replication may select useless replicas. In this paper, we explore the relative MTTF (Mean Time To Failure)-based incentive scheme for the more efficient availability-based replication. The relative MTTF is used to classify the guaranteed replicas which can get the incentive node availability, and these replicas help reduce the data traffic and the number of replicas without losing the target data availability. Results from trace-driven simulations show that the replication using our relative MTTF-based incentive scheme achieves the same target data availability with 41% less data traffic and 24% less replicas.
ER -