Umeå universitets logga

umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
SimScale GmbH.
Lund University.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. (grid and cloud computing)
2015 (Engelska)Ingår i: 2015 International Conference on Cloud and Autonomic Computing (ICCAC), New York: IEEE Computer Society, 2015, s. 1-12Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Data centers currently waste a lot of energy, due to lack of energy proportionality and low resource utilization, the latter currently being necessary to ensure application responsiveness. To address the second concern we propose a novel application-level technique that we call event-driven Brownout. For each request, i.e., in an event-driven manner, the application can execute some optional code that is not required for correct operation but desirable for user experience, and does so only if the number of pending client requests is below a given threshold. We propose several autonomic algorithms, based on control theory and machine learning, to automatically tune this threshold based on measured application 95th percentile response times. We evaluate our approach using the RUBiS benchmark which shows a 11-fold improvement in maintaining response-time close to a set-point at high utilization compared to competing approaches. Our contribution is opening the path to more energy efficient data-centers, by allowing applications to keep response times close to a set-point even at high resource utilization.

Ort, förlag, år, upplaga, sidor
New York: IEEE Computer Society, 2015. s. 1-12
Nyckelord [en]
graceful performance degradation, event-driven control, machine learning, tail response time
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:umu:diva-112415DOI: 10.1109/ICCAC.2015.25ISI: 000380476500001Scopus ID: 2-s2.0-84962045611ISBN: 978-1-4673-9566-3 (tryckt)OAI: oai:DiVA.org:umu-112415DiVA, id: diva2:877493
Konferens
International Conference on Cloud and Autonomic Computing (ICCAC), Boston, USA, SEP 21-25, 2015.
Projekt
Cloud Control
Forskningsfinansiär
VetenskapsrådetTillgänglig från: 2015-12-07 Skapad: 2015-12-07 Senast uppdaterad: 2023-03-24Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Desmeurs, DavidTordsson, Johan

Sök vidare i DiVA

Av författaren/redaktören
Desmeurs, DavidTordsson, Johan
Av organisationen
Institutionen för datavetenskap
Data- och informationsvetenskap

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 429 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf