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Home » Slacker: Fast Distribution with Lazy Docker Containers
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Slacker: Fast Distribution with Lazy Docker Containers

Authors: 

Tyler Harter, University of Wisconsin—Madison; Brandon Salmon and Rose Liu, Tintri; Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau, University of Wisconsin—Madison

Abstract: 

Containerized applications are becoming increasingly popular, but unfortunately, current container-deployment methods are very slow. We develop a new container benchmark, HelloBench, to evaluate the startup times of 57 different containerized applications. We use HelloBench to analyze workloads in detail, studying the block I/O patterns exhibited during startup and compressibility of container images. Our analysis shows that pulling packages accounts for 76% of container start time, but only 6.4% of that data is read. We use this and other findings to guide the design of Slacker, a new Docker storage driver optimized for fast container startup. Slacker is based on centralized storage that is shared between all Docker workers and registries. Workers quickly provision container storage using backend clones and minimize startup latency by lazily fetching container data. Slacker speeds up the median container development cycle by 20x and deployment cycle by 5x.

Tyler Harter, University of Wisconsin—Madison

Brandon Salmon, Tintri

Rose Liu, Tintri

Andrea C. Arpaci-Dusseau, University of Wisconsin—Madison

Remzi H. Arpaci-Dusseau, University of Wisconsin—Madison

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BibTeX
@inproceedings {194430,
author = {Tyler Harter and Brandon Salmon and Rose Liu and Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau},
title = {Slacker: Fast Distribution with Lazy Docker Containers},
booktitle = {14th USENIX Conference on File and Storage Technologies (FAST 16)},
year = {2016},
isbn = {978-1-931971-28-7},
address = {Santa Clara, CA},
pages = {181--195},
url = {https://www.usenix.org/conference/fast16/technical-sessions/presentation/harter},
publisher = {USENIX Association},
month = feb,
}
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