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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
많은 서비스는 고객에게 정보에 대한 즉각적인 액세스를 제공하기 위해 인터넷을 사용합니다. 다수의 고객에게 안정적인 서비스를 제공하기 위해 서비스 제공업체는 수요 변동을 모니터링하고 전 세계 복제 서버의 수와 위치를 조정해야 합니다. 불행하게도 플래시 크라우드는 빠르게 변화하는 수요에 대응하기 위해 매우 신속하게 재배치해야 하기 때문에 복제본 서버의 적절한 수와 위치를 결정하기가 매우 어렵습니다. 우리는 수요 변동에 따라 인터넷에서 복제 서버를 동적으로 재배치하기 위한 인프라인 ExaPeer를 개발하고 있습니다. 본 논문에서는 복제 서버의 적절한 수와 위치를 신속하게 찾는 메커니즘인 EPSR(ExaPeer Server Reposition)을 소개합니다. EPSR은 가볍고 Flash 군중에 반응하도록 설계되었습니다. EPSR을 사용하면 서버가 과부하되지 않도록 복제 서버를 배치할 수 있습니다. 비록 전용 서버가 인터넷상의 클라이언트 분포나 모든 서버의 로드와 같은 글로벌 정보를 수집하지는 않지만, P2P 접근 방식을 통해 EPSR은 플래시 크라우드에 대응할 수 있을 만큼 신속하게 복제 서버의 수와 위치를 찾을 수 있습니다. 시뮬레이션 결과, EPSR은 서비스 수요가 급격하게 증가/감소하더라도 수요가 높은 지역을 찾아 그 규모를 정확하게 예측하고 적절한 복제본 서버 수와 위치를 결정하는 것으로 나타났습니다.
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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},}
부
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 -