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
A control theoretical approach to non-intrusive geo-replication for cloud services
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Visa övriga samt affilieringar
2016 (Engelska)Ingår i: 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE, 2016, s. 1649-1656Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Complete data center failures may occur due to disastrous events such as earthquakes or fires. To attain robustness against such failures and reduce the probability of data loss, data must be replicated in another data center sufficiently geographically separated from the original data center. Implementing geo-replication is expensive as every data update operation in the original data center must be replicated in the backup. Running the application and the replication service in parallel is cost effective but creates a trade-off between potential replication consistency and data loss and reduced application performance due to network resource contention. We model this trade-off and provide a control-theoretical solution based on Model Predictive Control to dynamically allocate network bandwidth to accommodate the objectives of both replication and application data streams. We evaluate our control solution through simulations emulating the individual services, their traffic flows, and the shared network resource. The MPC solution is able to maintain a consistent performance over periods of persistent overload, and is quickly able to indiscriminately recover once the system return to a stable state. Additionally, the MPC balances the two objectives of consistency and performance according to the proportions specified in the objective function.

Ort, förlag, år, upplaga, sidor
IEEE, 2016. s. 1649-1656
Serie
IEEE Conference on Decision and Control, ISSN 0743-1546
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:umu:diva-124172DOI: 10.1109/CDC.2016.7798502ISI: 000400048101133Scopus ID: 2-s2.0-85010791243ISBN: 978-1-5090-1837-6 (tryckt)OAI: oai:DiVA.org:umu-124172DiVA, id: diva2:949822
Konferens
55th IEEE Conference on Decision and Control (CDC), Las Vegas, NV, DEC 12-14, 2016
Tillgänglig från: 2016-07-25 Skapad: 2016-07-25 Senast uppdaterad: 2023-03-23Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Tomas, LuisTordsson, Johan

Sök vidare i DiVA

Av författaren/redaktören
Tomas, LuisTordsson, Johan
Av organisationen
Institutionen för datavetenskap
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 539 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