On studying CPU performance of cloudlab hardware

Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Empirical performance measurements of computer systems almost always exhibit variability and anomalies. Run-to-run and server-to-server variations are common for CPU, memory, disk, and network performance characteristics. In our previous work, we focused on taming performance variability for memory, disk, and network [1] and established an interactive analysis service at: https://confirm.fyi/to help users of the CloudLab testbed [2] better plan and conduct their experiments. In this paper, we describe our analysis of CPU variability based on over 1.3M performance measurements from nearly 1,800 servers and present our initial findings.

Original languageEnglish
Title of host publication27th IEEE International Conference on Network Protocols (ICNP)
PublisherIEEE Computer Society
ISBN (Electronic)9781728127002
DOIs
Publication statusPublished - 31 Oct 2019
Event27th IEEE International Conference on Network Protocols, ICNP 2019 - Chicago, United States
Duration: 7 Oct 201910 Oct 2019

Publication series

NameProceedings - International Conference on Network Protocols, ICNP
Volume2019-October
ISSN (Print)1092-1648

Conference

Conference27th IEEE International Conference on Network Protocols, ICNP 2019
CountryUnited States
CityChicago
Period7/10/1910/10/19

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