Change search
ReferencesLink to record
Permanent link

Direct link
Improving Cloud Infrastructure Utilization through Overbooking
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)In: Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference, 2013Conference paper (Refereed)
Abstract [en]

Despite the potential given by the combination of multitenancyand virtualization, resource utilization in today’sdata centers is still low. We identify three key characteristicsof cloud services and infrastructure as-a-service managementpractices: burstiness in service workloads, fluctuationsin virtual machine resource usage over time, and virtual machinesbeing limited to pre-defined sizes only. Based on thesecharacteristics, we propose scheduling and admission controlalgorithms that incorporate resource overbooking to improveutilization. A combination of modeling, monitoring, andprediction techniques is used to avoid overpassing the totalinfrastructure capacity. A performance evaluation using amixture of workload traces demonstrates the potential forsignificant improvements in resource utilization while stillavoiding overpassing the total capacity.

Place, publisher, year, edition, pages
, ACM International Conference Proceeding Series
Keyword [en]
Admission Control, Burstiness, Cloud Computing, Overbooking, Prediction, Profiling, Resource Utilization
National Category
Computer Systems
URN: urn:nbn:se:umu:diva-79780DOI: 10.1145/2494621.2494627ISBN: 978-1-4503-2172-3OAI: diva2:644779
2013 ACM International Conference on Cloud and Autonomic Computing, CAC 2013, 5 August 2013 through 9 August 2013, Miami, FL
Available from: 2013-09-02 Created: 2013-09-02 Last updated: 2015-10-29Bibliographically approved

Open Access in DiVA

fulltext(956 kB)79 downloads
File information
File name FULLTEXT01.pdfFile size 956 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Tomas, LuisTordsson, Johan
By organisation
Department of Computing Science
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 79 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 219 hits
ReferencesLink to record
Permanent link

Direct link