https://www.mdu.se/

mdu.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
Power-Aware Cloud Brownout:: response time and power consumption control
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
Umea Univ, Dept Comp Sci, Umea, Sweden..
Umea Univ, Dept Comp Sci, Umea, Sweden..
Lund Univ, Dept Automat Control, Lund, Sweden..
2017 (English)In: 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017, p. 2686-2691Conference paper, Published paper (Refereed)
Abstract [en]

Cloud computing infrastructures are powering most of the web hosting services that we use at all times. A recent failure in the Amazon cloud infrastructure made many of the website that we use on a hourly basis unavailable(1). This illustrates the importance of cloud applications being able to absorb peaks in workload, and at the same time to tune their power requirements to the power and energy capacity offered by the data center infrastructure. In this paper we combine an established technique for response time control - brownout - with power capping. We use cascaded control to take into account both the need for predictability in the response times (the inner loop), and the power cap (the outer loop). We execute tests on real machines to determine power usage and response times models and extend an existing simulator. We then evaluate the cascaded controller approach with a variety of workloads and both open-and closed-loop client models.

Place, publisher, year, edition, pages
2017. p. 2686-2691
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-38791DOI: 10.1109/CDC.2017.8264049ISI: 000424696902097Scopus ID: 2-s2.0-85046161925ISBN: 978-1-5090-2873-3 (print)OAI: oai:DiVA.org:mdh-38791DiVA, id: diva2:1186851
Conference
IEEE 56th Annual Conference on Decision and Control (CDC), DEC 12-15, 2017, Melbourne, AUSTRALIA
Available from: 2018-03-01 Created: 2018-03-01 Last updated: 2020-02-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Papadopoulos, Alessandro

Search in DiVA

By author/editor
Papadopoulos, Alessandro
By organisation
Embedded Systems
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 14 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