liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Data Storage Cost Optimization Based on Electricity Price Forecasting with Machine Learning in a Multi-Geographical Cloud Environment
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska högskolan.
2018 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
Abstract [en]

As increased demand of cloud computing leads to increased electricity costs for cloud providers, there is an incentive to investigate in new methods to lower electricity costs in data centers. Electricity price markets suffer from sudden price spikes as well as irregularities between different geographical electricity markets.

This thesis investigates in whether it is possible to leverage these volatilities and irregularities between different electricity price markets, to offload or move storage in order to reduce electricity price costs for data storage.

By forecasting four different electricity price markets it was possible to predict sudden price spikes and leverage these forecasts in a simple optimization model to offload storage of data in data centers and successfully reduce electricity costs for data storage.

sted, utgiver, år, opplag, sider
2018. , s. 55
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-152250ISRN: LiU-ITN-TEK-A--18/035--SEOAI: oai:DiVA.org:liu-152250DiVA, id: diva2:1258120
Fag / kurs
Electrical Engineering
Uppsök
Technology
Veileder
Examiner
Tilgjengelig fra: 2018-10-24 Laget: 2018-10-24 Sist oppdatert: 2018-10-24bibliografisk kontrollert

Open Access i DiVA

Data Storage Cost Optimization Based on Electricity Price Forecasting with Machine Learning in a Multi-Geographical Cloud Environment(851 kB)105 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 851 kBChecksum SHA-512
c3f7945bce7b8379370fcdb991f420de7c19c03679deba5612c19373048b140c733acaa3659438258567b09ed0091cb4433b8ac41e8e03c9913b6c9da649f8f2
Type fulltextMimetype application/pdf

Søk i DiVA

Av forfatter/redaktør
Wiren, Jakob
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 105 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 305 treff
RefereraExporteraLink to record
Permanent link

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