Abstract
Containers are increasingly gaining popularity and becoming one of the major deployment models in cloud environments. To evaluate the performance of scheduling and allocation policies in containerized cloud data centers, there is a need for evaluation environments that support scalable and repeatable experiments. Simulation techniques provide repeatable and controllable environments, and hence, they serve as a powerful tool for such purpose. This paper introduces ContainerCloudSim, which provides support for modeling and simulation of containerized cloud computing environments. We developed a simulation architecture for containerized clouds and implemented it as an extension of CloudSim. We described a number of use cases to demonstrate how one can plug in and compare their container scheduling and provisioning policies in terms of energy efficiency and SLA compliance. Our system is highly scalable as it supports simulation of large number of containers, given that there are more containers than virtual machines in a data center.
Original language | English |
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Pages (from-to) | 505-521 |
Number of pages | 17 |
Journal | Software: Practice and Experience |
Volume | 47 |
Issue number | 4 |
Publication status | Published - 1 Apr 2017 |
Bibliographical note
Publisher Copyright:Copyright © 2016 John Wiley & Sons, Ltd.
Keywords
- cloud computing
- data processing service centers