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Discovering the IPv6 Network Periphery Read chapter Read first chapter

2020 | OriginalPaper | Chapter

A First Comparative Characterization of Multi-cloud Connectivity in Today’s Internet

Authors : Bahador Yeganeh, Ramakrishnan Durairajan, Reza Rejaie, Walter Willinger

Published in: Passive and Active Measurement

Publisher: Springer International Publishing

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Abstract

Today’s enterprises are adopting multi-cloud strategies at an unprecedented pace. Here, a multi-cloud strategy specifies end-to-end connectivity between the multiple cloud providers (CPs) that an enterprise relies on to run its business. This adoption is fueled by the rapid build-out of global-scale private backbones by the large CPs, a rich private peering fabric that interconnects them, and the emergence of new third-party private connectivity providers (e.g., DataPipe, HopOne, etc.). However, little is known about the performance aspects, routing issues, and topological features associated with currently available multi-cloud connectivity options. To shed light on the tradeoffs between these available connectivity options, we take a cloud-to-cloud perspective and present in this paper the results of a cloud-centric measurement study of a coast-to-coast multi-cloud deployment that a typical modern enterprise located in the US may adopt. We deploy VMs in two regions (i.e., VA and CA) of each one of three large cloud providers (i.e., AWS, Azure, and GCP) and connect them using three different options: (i) transit provider-based best-effort public Internet (BEP), (ii) third-party provider-based private (TPP) connectivity, and (iii) CP-based private (CPP) connectivity. By performing active measurements in this real-world multi-cloud deployment, we provide new insights into variability in the performance of TPP, the stability in performance and topology of CPP, and the absence of transit providers for CPP.

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Appendix
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Footnotes
1
This is different from hybrid cloud computing, where a direct connection exists between a public cloud and private on-premises enterprise server(s).
 
2
See Sect. 3.4 for more details.
 
3
In Sect. 5 we highlight that our inter-cloud measurements do not exit the source and destination CP’s network.
 
4
Note that these price points do not take into consideration the additional charges that are incurred by CPs for establishing connectivity to their network.
 
5
We do not have access to parameters such as TCP timeout delay and number of acknowledged packets by each ACK to use more elaborate TCP models (e.g., [54]).
 
6
In an ideal setting, we should not experience any packet losses as we are limiting our probing rate at the source.
 
7
In the absence of information regarding the physical fiber paths, we rely on latency as a proxy measure of path length.
 
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Metadata
Title
A First Comparative Characterization of Multi-cloud Connectivity in Today’s Internet
Authors
Bahador Yeganeh
Ramakrishnan Durairajan
Reza Rejaie
Walter Willinger
Copyright Year
2020
Book
Passive and Active Measurement

Print ISBN: 978-3-030-44080-0

Electronic ISBN: 978-3-030-44081-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-44081-7_12

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