Cloud Provider Connectivity in the Flat Internet
Cloud Provider Connectivity in the Flat Internet
复制标题
扁平互联网中的云提供商连接
DOI:
10.1145/3419394.3423613
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Katz-Bassett, Ethan
中科院分区:
文献类型:
--
作者:
Arnold, Todd;He, Jia;Jiang, Weifan;Calder, Matt;Cunha, Italo;Giotsas, Vasileios;Katz-Bassett, Ethan
The Tier-1 ISPs have been considered the Internet's backbone since the dawn of the modern Internet 30 years ago, as they guarantee global reachability. However, their influence and importance are waning as Internet flattening decreases the demand for transit services and increases the importance of private interconnections. Conversely, major cloud providers -- Amazon, Google, IBM, and Microsoft-- are gaining in importance as more services are hosted on their infrastructures. They ardently support Internet flattening and are rapidly expanding their global footprints, which enables them to bypass the Tier-1 ISPs and other large transit providers to reach many destinations.In this paper we seek to quantify the extent to which the cloud providers' can bypass the Tier-1 ISPs and other large transit providers. We conduct comprehensive measurements to identify the neighbor networks of the major cloud providers and combine them with AS relationship inferences to model the Internet's AS-level topology to calculate a new metric, hierarchy-free reachability, which characterizes the reachability a network can achieve without traversing the networks of the Tier-1 and Tier-2 ISPs. We show that the cloud providers are able to reach over 76% of the Internet without traversing the Tier-1 and Tier-2 ISPs, more than virtually every other network.
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DOI:
10.1016/j.comcom.2019.05.022
发表时间:
2019
期刊:
Comput. Commun.
影响因子:
--
作者:
Esteban Carisimo;Carlos Selmo;José Ignacio Alvarez;A. Dhamdhere
通讯作者:
A. Dhamdhere
DOI:
10.1145/2987443.2987467
发表时间:
2016
期刊:
Proceedings of the 2016 Internet Measurement Conference
影响因子:
--
作者:
M. Luckie;A. Dhamdhere;B. Huffaker;D. Clark;K. Claffy
通讯作者:
K. Claffy
DOI:
--
发表时间:
2020
期刊:
Lecture notes in computer science
影响因子:
--
作者:
Bahador Yeganeh, Ramakrishnan Durairajan
通讯作者:
Bahador Yeganeh, Ramakrishnan Durairajan
DOI:
10.1145/1851182.1851194
发表时间:
2010-08
期刊:
--
影响因子:
--
作者:
C. Labovitz;S. Iekel-Johnson;D. McPherson;Jon Oberheide;F. Jahanian
通讯作者:
C. Labovitz;S. Iekel-Johnson;D. McPherson;Jon Oberheide;F. Jahanian
DOI:
10.1145/3131365.3131392
发表时间:
2017
期刊:
Proceedings of the 2017 Internet Measurement Conference
影响因子:
--
作者:
B. Goodchild;Yi;Rob Hansen;Haonan Lu;Matt Calder;M. Luckie;Wyatt Lloyd;D. Choffnes;Ethan Katz
通讯作者:
Ethan Katz