A study on the evaluation of HPC microservices in containerized environment. (2nd May 2019)

• Record Type: Journal Article
• Authors: Jha, Devki Nandan; Garg, Saurabh; Jayaraman, Prem Prakash; Buyya, Rajkumar; Li, Zheng; Morgan, Graham; Ranjan, Rajiv
• Is Part Of: Concurrency and computation. Volume 33:Number 7(2021)
• Page Start: 1
• Page End: 1
• Publication Date: 2019-05-02
• Subjects: container -- docker -- interference -- microservice -- performance evaluation; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.5323
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: 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.