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BwMan: Bandwidth manager for elastic services in the cloud
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS. Universitat Politecnica de Catalunya, Spain.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
2014 (English)In: Proceedings - 2014 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2014, IEEE , 2014, 217-224 p.Conference paper, Published paper (Refereed)
Abstract [en]

The flexibility of Cloud computing allows elastic services to adapt to changes in workload patterns in order to achieve desired Service Level Objectives (SLOs) at a reduced cost. Typically, the service adapts to changes in workload by adding or removing service instances (VMs), which for stateful services will require moving data among instances. The SLOs of a distributed Cloud-based service are sensitive to the available network bandwidth, which is usually shared by multiple activities in a single service without being explicitly allocated and managed as a resource. We present the design and evaluation of BwMan, a network bandwidth manager for elastic services in the Cloud. BwMan predicts and performs the bandwidth allocation and tradeoffs between multiple service activities in order to meet service specific SLOs and policies. To make management decisions, BwMan uses statistical machine learning (SML) to build predictive models. This allows BwMan to arbitrate and allocate bandwidth dynamically among different activities to satisfy specified SLOs. We have implemented and evaluated BwMan for the OpenStack Swift store. Our evaluation shows the feasibility and effectiveness of our approach to bandwidth management in an elastic service. The experiments show that network bandwidth management by BwMan can reduce SLO violations in Swift by a factor of two or more.

Place, publisher, year, edition, pages
IEEE , 2014. 217-224 p.
Keyword [en]
Bandwidth Management, Cloud Computing, SLO
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-158088DOI: 10.1109/ISPA.2014.37ISI: 000364951700028Scopus ID: 2-s2.0-84911421776ISBN: 978-147994293-0 (print)OAI: oai:DiVA.org:kth-158088DiVA: diva2:775112
Conference
12th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2014, Milan, Italy, 26 August 2014 through 28 August 2014
Note

QC 20141230

Available from: 2014-12-30 Created: 2014-12-22 Last updated: 2015-12-17Bibliographically approved
In thesis
1. Towards Elastic High Performance Distributed Storage Systems in the Cloud
Open this publication in new window or tab >>Towards Elastic High Performance Distributed Storage Systems in the Cloud
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. 33 p.
Series
TRITA-ICT-ECS AVH, ISSN 1653-6363 ; 15:02
National Category
Computer Science
Identifiers
urn:nbn:se:kth:diva-162567 (URN)978-91-7595-466-0 (ISBN)
Presentation
2015-03-31, Sal A, KTH-ICT, Electrum, Kistagången 16, KISTA, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20150325

Available from: 2015-03-25 Created: 2015-03-25 Last updated: 2015-03-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other locale
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Output format
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