Bandwidth in the Cloud
Jose Luis Garcia-Dorado

TL;DR
This study measures and analyzes bandwidth dynamics across multiple cloud data-centers and providers, revealing predictable patterns related to location and low correlation between paths, which impacts cloud robustness and deployment strategies.
Contribution
It provides the first extensive measurement campaign characterizing cloud bandwidth as a combination of stationary and infrequent events, with analysis linking these to data-center location and provider.
Findings
Bandwidth is predictable based on location and provider.
Low correlation (10%) between data-center paths.
Correlation depends on specific data-center relationships.
Abstract
The seek for the best quality of service has led Cloud infrastructure clients to disseminate their services, contents and data over multiple cloud data-centers often involving several Cloud Service Providers (CSPs). The consequence of this is that a large amount of bytes must be transmitted across the public Cloud. However, very little is known about its bandwidth dynamics. To address this, we have conducted a measurement campaign for bandwidth between eighteen data-centers of four major CSPs. Such extensive campaign allowed us to characterize the resulting time series of bandwidth as the addition of a stationary component and some infrequent excursions (typically, downtimes). While the former provides a description of the bandwidth users can expect in the Cloud, the latter is closely related to the robustness of the Cloud (i.e., the occurrence of downtimes is correlated). Both…
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Taxonomy
TopicsCloud Computing and Resource Management · Advanced Optical Network Technologies · Complex Network Analysis Techniques
