Improving resource efficiency of container-instance clusters on clouds

Uchechukwu Awada, Adam David Barker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)
2 Downloads (Pure)

Abstract

Cloud computing providers such as Amazon and Google have recently begun offering container-instances, which provide an efficient route to application deployment within a lightweight, isolated and well-defined execution environment.Cloud providers currently offer Container Service Platforms (CSPs), which orchestrate containerised applications.Existing CSP frameworks do not offer any form of intelligent resource scheduling: applications are usually scheduled individually, rather than taking a holistic view of all registered applications and available resources in the cloud. This can result in increased execution times for applications, resource wastage through underutilised container-instances, and a reduction in the number of applications that can be deployed, given the available resources.The research presented in this paper aims to extend existing systems by adding a cloud-based Container Management Service (CMS) framework that offers increased deployment density, scalability and resource efficiency. CMS provides additional functionalities for orchestrating containerised applications by joint optimisation of sets of containerised applications, and resource pool in multiple (geographical distributed) cloud regions.We evaluated CMS on a cloud-based CSP i.e., Amazon EC2 Container Management Service (ECS) and conducted extensive experiments using sets of CPU and Memory intensive containerised applications against the direct deployment strategy of Amazon ECS. The results show that CMS achieves up to 25% higher cluster utilisation, and up to 70% reduction in execution times.
Original languageEnglish
Title of host publication2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
PublisherIEEE
Pages929-934
ISBN (Electronic)9781509066117
DOIs
Publication statusPublished - 14 May 2017
EventThe 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing - Melia Los Galgos Hotel, Madrid, Spain
Duration: 14 May 201717 May 2017
Conference number: 17
https://www.arcos.inf.uc3m.es/ccgrid2017/

Conference

ConferenceThe 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Abbreviated titleCCGrid2017
Country/TerritorySpain
CityMadrid
Period14/05/1717/05/17
Internet address

Fingerprint

Dive into the research topics of 'Improving resource efficiency of container-instance clusters on clouds'. Together they form a unique fingerprint.

Cite this