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Abstract

Containers are gaining popularity over virtual machines as they provide the advantages of virtualization with the performance of near bare metal. The uniformity of support provided by Docker containers across different cloud providers makes them a popular choice for developers. Evolution of microservice architecture allows complex applications to be structured into independent modular components making them easier to manage. High‐performance computing (HPC) applications are one such application to be deployed as microservices, placing significant resource requirements on the container framework. However, there is a possibility of interference between different microservices hosted within the same container (intracontainer) and different containers (intercontainer) on the same physical host. In this paper, we describe an extensive experimental investigation to determine the performance evaluation of Docker containers executing heterogeneous HPC microservices. We are particularly concerned with how intracontainer and intercontainer interference influences the performance. Moreover, we investigate the performance variations in Docker containers when control groups (cgroups) are used for resource limitation. For ease of presentation and reproducibility, we use Cloud Evaluation Experiment Methodology (CEEM) to conduct our comprehensive set of experiments. We expect that the results of evaluation can be used in understanding the behavior of HPC microservices in the interfering containerized environment.

Item Type:	Article
Authors/Creators:	Jha, DN and Garg, S and Jayaraman, PP and Buyya, R and Li, Z and Morgan, G and Ranjan, R
Keywords:	container, docker, microservice, interference, performance evaluation, fog computing, IoT, big data
Journal or Publication Title:	Concurrency and Computation: Practice and Experience
Publisher:	John Wiley & Sons Ltd
ISSN:	1532-0626
DOI / ID Number:	https://doi.org/10.1002/cpe.5323
Copyright Information:	Copyright 2019 John Wiley & Sons, Ltd.
Related URLs:	Google Scholar: Garg, S UTAS Profile: Garg, S
Item Statistics:	View statistics for this item

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