LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Evaluating Docker storage performance: from workloads to graph drivers

Photo by jordanmcdonald from unsplash

Containers are a widely successful technology today popularized by Docker. They improve system utilization by increasing workload density and enable seamless deployment of workloads across development, test, and production environments.… Click to show full abstract

Containers are a widely successful technology today popularized by Docker. They improve system utilization by increasing workload density and enable seamless deployment of workloads across development, test, and production environments. Docker’s unique approach to data management, which involves frequent snapshot creation and removal, presents a new set of exciting challenges for storage systems. At the same time, storage management for Docker containers has remained largely unexplored with a dizzying array of solution choices and configuration options. In this paper we unravel the multi-faceted nature of Docker storage and demonstrate its impact on system and workload performance. As we uncover new properties of the popular Docker storage drivers, this is a sobering reminder that widespread use of new technologies can often precede their careful evaluation.

Keywords: docker; storage performance; evaluating docker; docker storage

Journal Title: Cluster Computing
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.