Conducting Thousands of Experiments to Analyze VMs, Dockers and Nested Dockers Boot Time

Thuy Linh Nguyen 1, 2 Adrien Lebre 1, 2
Abstract : While many studies have been focusing on reducing the time to manipulate Virtual Machine/Container images in order to optimize provisioning operations in a Cloud infrastructure, only a few studies have considered the time required to boot these systems. Some previous researches showed that the whole boot process can last from a few seconds to few minutes depending on co-located workloads and the number of concurrent deployed machines. In this paper, we discuss a large experimental campaign that allows us to understand in more details the boot duration of both virtualization techniques under various storage devices and resources contentions. Particularly, we analyzed thoroughly the boot time of VMs, Dockers on top of bare-metal servers, and Dockers inside VMs, which is a current trend of public Cloud Computing such as Amazon Web Services or Google Cloud. We developed a methodology that enables us to perform fully-automatized and reproducible experimental campaigns on a scientific testbed. Thanks to this methodology, we conducted more than 14.400 experiments on Grid’5000 testbed for a bit more than 500 hours. The results we collected provide an important information related to the boot time behavior of these two virtualization technologies. Although containers boot much faster than VMs, both containers and VMs boot time are impacted by the co-workloads on the same compute node.
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https://hal.inria.fr/hal-01919354
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Submitted on : Monday, November 12, 2018 - 1:13:14 PM
Last modification on : Tuesday, March 26, 2019 - 9:25:22 AM
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Thuy Linh Nguyen, Adrien Lebre. Conducting Thousands of Experiments to Analyze VMs, Dockers and Nested Dockers Boot Time. [Research Report] RR-9221, INRIA. 2018, pp.1-13. ⟨hal-01919354⟩

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