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Comparing Automatic Load Balancing using VMware DRS with a Human Expert
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Ericsson AB, SWE.
2016 (English)In: 2016 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING WORKSHOP (IC2EW), IEEE, 2016, 239-246 p.Conference paper (Refereed)
Abstract [en]

In recent years, there has been a rapid growth of interest in dynamic management of resources in virtualized systems. Virtualization provides great flexibility in terms of resource sharing but at the same time it also brings new challenges for load balancing using automatic migrations of virtual machines. In this paper, we have evaluated VMware's Distributed Resource Scheduler (DRS) in a number of realistic scenarios using multiple instances of a large industrial telecommunication application. We have measured the performance on the hosts before and after the migration in terms of CPU utilization, and compared DRS migrations with human expert migrations. According to our results, DRS with the most aggressive threshold gave us the best results. It could balance the load in 40% of cases while in other cases it could not balance the load properly. DRS did completely unnecessary migrations back and forth in some cases.

Place, publisher, year, edition, pages
IEEE, 2016. 239-246 p.
Keyword [en]
Cloud Computing, Distributed Resource Scheduler (DRS), Virtual Machine Migration, Virtualization, VMware
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-13923DOI: 10.1109/IC2EW.2016.14ISI: 000392269400047ISBN: 978-1-5090-3684-4 (electronic)OAI: oai:DiVA.org:bth-13923DiVA: diva2:1076295
Conference
IEEE International Conference on Cloud Engineering (IC2E), APR 04-08, 2016, TU Berlin, Berlin, GERMANY
Available from: 2017-02-22 Created: 2017-02-22 Last updated: 2017-02-24Bibliographically approved

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Shirinbab, SogandLundberg, Lars
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