WattsApp: Power-aware container scheduling

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dc.contributor.author Mehta, Hemant Kumar
dc.contributor.author Harvey, Paul
dc.contributor.author Rana, Omar
dc.contributor.author Buyya, Rajkumar
dc.contributor.author Varghese, Blesson
dc.date.accessioned 2020-10-27T09:02:54Z
dc.date.available 2020-10-27T09:02:54Z
dc.date.issued 2020-12-07
dc.identifier.citation Mehta, H. K., Harvey, P., Rana, O., Buyya, R. and Varghese, B. (2020) ‘WattsApp: Power-Aware Container Scheduling’, UCC’20: IEEE/ACM International Conference on Utility and Cloud Computing, Virtual Conference, (Leicester, UK), 07-10 December. Forthcoming publication en
dc.identifier.startpage 1 en
dc.identifier.endpage 10 en
dc.identifier.uri http://hdl.handle.net/10468/10681
dc.description.abstract Containers are popular for deploying workloads. However, there are limited software-based methods (hardware-based methods are ex- pensive) for obtaining the power consumed by containers to facilitate power-aware container scheduling. This paper presents WattsApp, a tool underpinned by a six step software-based method for power- aware container scheduling to minimize power cap violations on a server. The proposed method relies on a neural network-based power estimation model and a power capped container scheduling technique. Experimental studies are pursued in a lab-based environment on 10 benchmarks on Intel and ARM processors. The results highlight that power estimation has negligible overheads - nearly 90% of all data samples can be estimated with less than a 10% error, and the Mean Absolute Percentage Error (MAPE) is less than 6%. The power-aware scheduling of WattsApp is more effective than Intel’s Running Power Average Limit (RAPL) based power capping as it does not degrade the performance of all running containers. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.uri https://www.cs.le.ac.uk/events/BDCAT2020/
dc.rights © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works en
dc.subject WattsApp en
dc.subject Power- aware container scheduling en
dc.subject Scheduling en
dc.subject Server en
dc.subject Workloads en
dc.subject Accelerator architectures. en
dc.subject Container power capping en
dc.title WattsApp: Power-aware container scheduling en
dc.type Conference item en
dc.internal.authorcontactother Hemant Kumar Mehta, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: h.mehta@cs.ucc.ie en
dc.internal.availability Full text available en
dc.description.version Accepted Version en
dc.description.status Peer reviewed en
dc.internal.IRISemailaddress h.mehta@cs.ucc.ie en
dc.internal.bibliocheck Forthcoming publication. Add doi, isbn etc. Update citation. Add volume, page numbers. en


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