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A holistic evaluation of docker containers for interfering microservices

Lookup NU author(s): Devki Jha, Professor Raj Ranjan

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Abstract

© 2018 IEEE. Advancement of container technology (e.g. Docker, LXC, etc.) transformed the virtualization concept by providing a lightweight alternative to hypervisors. Docker has emerged as the most popular container management tool. Recent research regarding the comparison of container with hypervisor and bare-metal demonstrates that the container can accomplish bare-metal performance in almost all case. However, the current literature lacks an in-depth study on the experimental evaluation for understanding the performance interference between microservices that are hosted within a single or across multiple containers. In this paper, we have presented the experimental study on the performance evaluation of Docker containers running heterogeneous set of microservices concurrently. We have conducted a comprehensive set of experiments following CEEM (Cloud Evaluation Experiment Methodology) to measure the interference between containers running either competing or independent microservices. We have also considered the effects of constraining the resources of a container by explicitly specifying the cgroups. We have evaluated the performance of containers in terms of inter-container (caused by two concurrent executing containers) and intra-container (caused between two microservices executing inside a container) interference which is almost neglected in the current literature. The evaluation results can be utilized to model the interference effect for smart resource provisioning of microservices in the containerized environment.


Publication metadata

Author(s): Jha DN, Garg S, Jayaraman PP, Buyya R, Li Z, Ranjan R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services

Year of Conference: 2018

Pages: 33-40

Online publication date: 06/09/2018

Acceptance date: 02/07/2018

Publisher: IEEE

URL: https://doi.org/10.1109/SCC.2018.00012

DOI: 10.1109/SCC.2018.00012

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538672501


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