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
Muitos serviços dependem da Internet para fornecer aos seus clientes acesso imediato à informação. Para fornecer um serviço estável a um grande número de clientes, um fornecedor de serviços precisa de monitorizar as flutuações da procura e ajustar o número e a localização dos servidores de réplica em todo o mundo. Infelizmente, as multidões de Flash tornam bastante difícil determinar um bom número e localização de servidores de réplica porque eles devem ser reposicionados muito rapidamente para responder às demandas em rápida mudança. Estamos desenvolvendo o ExaPeer, uma infra-estrutura para reposicionar dinamicamente réplicas de servidores na Internet com base nas flutuações da demanda. Neste artigo apresentamos o ExaPeer Server Reposition (EPSR), um mecanismo que encontra rapidamente o número e a localização apropriados de servidores de réplica. EPSR foi projetado para ser leve e responsivo às multidões de Flash. O EPSR nos permite posicionar servidores de réplica para que nenhum servidor fique sobrecarregado. Embora nenhum servidor dedicado colete informações globais, como a distribuição de clientes ou a carga de todos os servidores na Internet, a abordagem ponto a ponto permite que o EPSR encontre o número e a localização dos servidores de réplica com rapidez suficiente para responder às multidões de flash. Os resultados da simulação demonstram que o EPSR localiza áreas de alta demanda, estima sua escala corretamente e determina o número e a localização apropriados de servidores de réplica, mesmo que a demanda por um serviço aumente/diminua rapidamente.
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Masato ASAHARA, Kenji KONO, Toshinori KOJIMA, Ai HAYAKAWA, "P2P-Based Approach to Finding Replica Server Locations for Alleviating Flash Crowds" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 11, pp. 3027-3037, November 2010, doi: 10.1587/transinf.E93.D.3027.
Abstract: Many services rely on the Internet to provide their customers with immediate access to information. To provide a stable service to a large number of customers, a service provider needs to monitor demand fluctuations and adjust the number and the location of replica servers around the world. Unfortunately, Flash crowds make it quite difficult to determine good number and locations of replica servers because they must be repositioned very quickly to respond to rapidly changing demands. We are developing ExaPeer, an infrastructure for dynamically repositioning replica servers on the Internet on the basis of demand fluctuations. In this paper we introduce ExaPeer Server Reposition (EPSR), a mechanism that quickly finds appropriate number and locations of replica servers. EPSR is designed to be lightweight and responsive to Flash crowds. EPSR enables us to position replica servers so that no server becomes overloaded. Even though no dedicated server collects global information such as the distribution of clients or the load of all servers over the Internet, the peer-to-peer approach enables EPSR to find number and locations of replica servers quickly enough to respond to flash crowds. Simulation results demonstrate that EPSR locates high-demand areas, estimates their scale correctly and determines appropriate number and locations of replica servers even if the demand for a service increases/decreases rapidly.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3027/_p
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@ARTICLE{e93-d_11_3027,
author={Masato ASAHARA, Kenji KONO, Toshinori KOJIMA, Ai HAYAKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={P2P-Based Approach to Finding Replica Server Locations for Alleviating Flash Crowds},
year={2010},
volume={E93-D},
number={11},
pages={3027-3037},
abstract={Many services rely on the Internet to provide their customers with immediate access to information. To provide a stable service to a large number of customers, a service provider needs to monitor demand fluctuations and adjust the number and the location of replica servers around the world. Unfortunately, Flash crowds make it quite difficult to determine good number and locations of replica servers because they must be repositioned very quickly to respond to rapidly changing demands. We are developing ExaPeer, an infrastructure for dynamically repositioning replica servers on the Internet on the basis of demand fluctuations. In this paper we introduce ExaPeer Server Reposition (EPSR), a mechanism that quickly finds appropriate number and locations of replica servers. EPSR is designed to be lightweight and responsive to Flash crowds. EPSR enables us to position replica servers so that no server becomes overloaded. Even though no dedicated server collects global information such as the distribution of clients or the load of all servers over the Internet, the peer-to-peer approach enables EPSR to find number and locations of replica servers quickly enough to respond to flash crowds. Simulation results demonstrate that EPSR locates high-demand areas, estimates their scale correctly and determines appropriate number and locations of replica servers even if the demand for a service increases/decreases rapidly.},
keywords={},
doi={10.1587/transinf.E93.D.3027},
ISSN={1745-1361},
month={November},}
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TY - JOUR
TI - P2P-Based Approach to Finding Replica Server Locations for Alleviating Flash Crowds
T2 - IEICE TRANSACTIONS on Information
SP - 3027
EP - 3037
AU - Masato ASAHARA
AU - Kenji KONO
AU - Toshinori KOJIMA
AU - Ai HAYAKAWA
PY - 2010
DO - 10.1587/transinf.E93.D.3027
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2010
AB - Many services rely on the Internet to provide their customers with immediate access to information. To provide a stable service to a large number of customers, a service provider needs to monitor demand fluctuations and adjust the number and the location of replica servers around the world. Unfortunately, Flash crowds make it quite difficult to determine good number and locations of replica servers because they must be repositioned very quickly to respond to rapidly changing demands. We are developing ExaPeer, an infrastructure for dynamically repositioning replica servers on the Internet on the basis of demand fluctuations. In this paper we introduce ExaPeer Server Reposition (EPSR), a mechanism that quickly finds appropriate number and locations of replica servers. EPSR is designed to be lightweight and responsive to Flash crowds. EPSR enables us to position replica servers so that no server becomes overloaded. Even though no dedicated server collects global information such as the distribution of clients or the load of all servers over the Internet, the peer-to-peer approach enables EPSR to find number and locations of replica servers quickly enough to respond to flash crowds. Simulation results demonstrate that EPSR locates high-demand areas, estimates their scale correctly and determines appropriate number and locations of replica servers even if the demand for a service increases/decreases rapidly.
ER -