A New Approach to Calculate Resource Limits with Fairness in Kubernetes

Hamzeh, H., Meacham, S. and Khan, K. 2019. A New Approach to Calculate Resource Limits with Fairness in Kubernetes. 2019 First International Conference on Digital Data Processing (DDP). London, United Kingdom 15 - 17 Nov 2019 IEEE . https://doi.org/10.1109/ddp.2019.00020

TitleA New Approach to Calculate Resource Limits with Fairness in Kubernetes
AuthorsHamzeh, H., Meacham, S. and Khan, K.
TypeConference paper
Abstract

Containerization has become a new approach that facilitates application deployment and delivers scalability, productivity, security, and portability. As a first promising platform, Docker was proposed in 2013 to automate the deployment of applications. There are many advantages of Docker for delivering cloud native services. However, its widespread use has revealed problems such as performance overhead. In order to deal with those problems, Kubernetes was introduced in 2015 as a container orchestration platform to simplify the management of containers. Kubernetes simplifies managing a large scale number of docker containers, however, the fairness is a missing point in the Kubernetes that has been applied in other platforms such as Apache Hadoop, YARN and Mesos. Assigning resource limits fairly among the pods in kubernetes becomes a challenging issue as some applications may require intensive resources such as CPU and memory that should be maximized to satisfy them. In order to do that, in this paper, we practice a novel way to assign resource limits fairly among the pods in the Kubernetes environment.

Year2019
Conference2019 First International Conference on Digital Data Processing (DDP)
PublisherIEEE
Publication dates
PublishedNov 2019
ISBN9781728153636
Digital Object Identifier (DOI)https://doi.org/10.1109/ddp.2019.00020
Web address (URL)http://dx.doi.org/10.1109/ddp.2019.00020

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