umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
FPGA-Aware Scheduling Strategies at Hypervisor Level in Cloud Environments
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Show others and affiliations
2016 (English)In: Scientific Programming, ISSN 1058-9244, E-ISSN 1875-919X, 4670271Article in journal (Refereed) Published
Abstract [en]

Current open issues regarding cloud computing include the support for nontrivial Quality of Service-related Service Level Objectives (SLOs) and reducing the energy footprint of data centers. One strategy that can contribute to both is the integration of accelerators as specialized resources within the cloud system. In particular, Field Programmable Gate Arrays (FPGAs) exhibit an excellent performance/energy consumption ratio that can be harnessed to achieve these goals. In this paper, a multilevel cloud scheduling framework is described, and several FPGA-aware node level scheduling strategies (applied at the hypervisor level) are explored and analyzed. These strategies are based on the use of a multiobjective metric aimed at providing Quality of Service (QoS) support. Results show how the proposed FPGA-aware scheduling policies increment the number of users requests serviced with their SLOs fulfilled while energy consumption is minimized. In particular, evaluation results of a use case based on a multimedia application show that the proposal can save more than 20% of the total energy compared with other baseline algorithms while a higher percentage of Service Level Agreement (SLA) is fulfilled.

Place, publisher, year, edition, pages
2016. 4670271
National Category
Computer Science
Research subject
Computing Science
Identifiers
URN: urn:nbn:se:umu:diva-124168DOI: 10.1155/2016/4670271ISI: 000379470300001OAI: oai:DiVA.org:umu-124168DiVA: diva2:949812
Available from: 2016-07-25 Created: 2016-07-25 Last updated: 2017-05-18Bibliographically approved

Open Access in DiVA

fulltext(2941 kB)25 downloads
File information
File name FULLTEXT01.pdfFile size 2941 kBChecksum SHA-512
2253bd8d9e3abd0e0d614caf356a2d0aa78860eb6b846d6f3589a5892f27031116ad4a0880c8720290a5ed49856ef66e8caa734c7a0a72590a8fa458f44b8747
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Tomas, LuisKostentinos Tesfatsion, SelomeTordsson, Johan
By organisation
Department of Computing Science
In the same journal
Scientific Programming
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 25 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: 73 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf