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Measuring Docker Performance: What a Mess!!!
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.ORCID iD: 0000-0002-3118-5058
University of Rome, ITA.
2017 (English)In: ICPE 2017 - Companion of the 2017 ACM/SPEC International Conference on Performance Engineering, ACM , 2017, p. 11-16Conference paper, Published paper (Refereed)
Abstract [en]

Today, a new technology is going to change the way platforms for the internet of services are designed and managed. This technology is called container (e.g. Docker and LXC). The internet of service industry is adopting the container technology both for internal usage and as commercial offering. The use of container as base technology for large-scale systems opens many challenges in the area of resource management at run-time, for example: autoscaling, optimal deployment and monitoring. Specifically, monitoring of container based systems is at the ground of any resource management solution, and it is the focus of this work. This paper explores the tools available to measure the performance of Docker from the perspective of the host operating system and of the virtualization environment, and it provides a characterization of the CPU and disk I/O overhead introduced by containers.

Place, publisher, year, edition, pages
ACM , 2017. p. 11-16
Series
ICPE ’17 Companion
Keywords [en]
cloud computing, container, docker, internet of service, microservices, monitoring, performance evaluation
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-14450DOI: 10.1145/3053600.3053605ISI: 000627574900003ISBN: 9781450348997 (print)OAI: oai:DiVA.org:bth-14450DiVA, id: diva2:1107544
Conference
8th ACM/SPEC International Conference on Performance Engineering, ICPE L'Aquila; Italy
Part of project
Bigdata@BTH- Scalable resource-efficient systems for big data analytics, Knowledge Foundation
Funder
Knowledge Foundation, 20140032Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2021-12-22Bibliographically approved

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fulltext(380 kB)4100 downloads
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ccacb1e77540c499f8a0273b655b9ccfff4921890fdfa58cea8c50d0b2cab9a76a1c8b12e1e39d960f7a213df2324cafd82c07495d8b32ee9c62e544f067e4b3
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Publisher's full texthttp://doi.acm.org/10.1145/3053600.3053605

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Casalicchio, Emiliano

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