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
Neste artigo propomos um esquema de replicação de arquivos inspirado em um fenômeno de difusão térmica para balanceamento de carga de armazenamento em redes não estruturadas de compartilhamento de arquivos peer-to-peer (P2P). O esquema proposto é projetado de forma que as taxas de utilização de armazenamento dos pares sejam uniformes, da mesma forma que a temperatura em um campo se torna uniforme em um fenômeno de difusão térmica. O esquema proposto cria réplicas de arquivos em pares de forma probabilística, onde a probabilidade é controlada usando parâmetros que podem ser usados para encontrar o compromisso entre balanceamento de carga de armazenamento e desempenho de pesquisa em redes de compartilhamento de arquivos P2P não estruturadas. Primeiramente, mostramos através de análise teórica que o comportamento estatístico do balanceamento de carga de armazenamento controlado pelo esquema proposto tem analogia com o fenômeno de difusão térmica. Mostramos então através de simulação que o esquema proposto não só tem desempenho superior no que diz respeito ao equilíbrio da carga de armazenamento entre pares (objetivo principal da presente proposta), mas também permite que o trade-off de desempenho seja amplamente encontrado. Finalmente, discutimos qualitativamente uma diretriz para definir os valores dos parâmetros, a fim de encontrar amplamente o compromisso de desempenho a partir dos resultados da simulação.
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Masato UCHIDA, Kei OHNISHI, Kento ICHIKAWA, Masato TSURU, Yuji OIE, "Dynamic and Decentralized Storage Load Balancing with Analogy to Thermal Diffusion for P2P File Sharing" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 3, pp. 525-535, March 2010, doi: 10.1587/transcom.E93.B.525.
Abstract: In this paper we propose a file replication scheme inspired by a thermal diffusion phenomenon for storage load balancing in unstructured peer-to-peer (P2P) file sharing networks. The proposed scheme is designed such that the storage utilization ratios of peers will be uniform, in the same way that the temperature in a field becomes uniform in a thermal diffusion phenomenon. The proposed scheme creates replicas of files in peers probabilistically, where the probability is controlled by using parameters that can be used to find the trade-off between storage load balancing and search performance in unstructured P2P file sharing networks. First, we show through theoretical analysis that the statistical behavior of the storage load balancing controlled by the proposed scheme has an analogy with the thermal diffusion phenomenon. We then show through simulation that the proposed scheme not only has superior performance with respect to balancing the storage load among peers (the primary objective of the present proposal) but also allows the performance trade-off to be widely found. Finally, we qualitatively discuss a guideline for setting the parameter values in order to widely find the performance trade-off from the simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.525/_p
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@ARTICLE{e93-b_3_525,
author={Masato UCHIDA, Kei OHNISHI, Kento ICHIKAWA, Masato TSURU, Yuji OIE, },
journal={IEICE TRANSACTIONS on Communications},
title={Dynamic and Decentralized Storage Load Balancing with Analogy to Thermal Diffusion for P2P File Sharing},
year={2010},
volume={E93-B},
number={3},
pages={525-535},
abstract={In this paper we propose a file replication scheme inspired by a thermal diffusion phenomenon for storage load balancing in unstructured peer-to-peer (P2P) file sharing networks. The proposed scheme is designed such that the storage utilization ratios of peers will be uniform, in the same way that the temperature in a field becomes uniform in a thermal diffusion phenomenon. The proposed scheme creates replicas of files in peers probabilistically, where the probability is controlled by using parameters that can be used to find the trade-off between storage load balancing and search performance in unstructured P2P file sharing networks. First, we show through theoretical analysis that the statistical behavior of the storage load balancing controlled by the proposed scheme has an analogy with the thermal diffusion phenomenon. We then show through simulation that the proposed scheme not only has superior performance with respect to balancing the storage load among peers (the primary objective of the present proposal) but also allows the performance trade-off to be widely found. Finally, we qualitatively discuss a guideline for setting the parameter values in order to widely find the performance trade-off from the simulation results.},
keywords={},
doi={10.1587/transcom.E93.B.525},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Dynamic and Decentralized Storage Load Balancing with Analogy to Thermal Diffusion for P2P File Sharing
T2 - IEICE TRANSACTIONS on Communications
SP - 525
EP - 535
AU - Masato UCHIDA
AU - Kei OHNISHI
AU - Kento ICHIKAWA
AU - Masato TSURU
AU - Yuji OIE
PY - 2010
DO - 10.1587/transcom.E93.B.525
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2010
AB - In this paper we propose a file replication scheme inspired by a thermal diffusion phenomenon for storage load balancing in unstructured peer-to-peer (P2P) file sharing networks. The proposed scheme is designed such that the storage utilization ratios of peers will be uniform, in the same way that the temperature in a field becomes uniform in a thermal diffusion phenomenon. The proposed scheme creates replicas of files in peers probabilistically, where the probability is controlled by using parameters that can be used to find the trade-off between storage load balancing and search performance in unstructured P2P file sharing networks. First, we show through theoretical analysis that the statistical behavior of the storage load balancing controlled by the proposed scheme has an analogy with the thermal diffusion phenomenon. We then show through simulation that the proposed scheme not only has superior performance with respect to balancing the storage load among peers (the primary objective of the present proposal) but also allows the performance trade-off to be widely found. Finally, we qualitatively discuss a guideline for setting the parameter values in order to widely find the performance trade-off from the simulation results.
ER -