Cloud data centers revenue maximization using server consolidation: Modeling and evaluation

Mohammad Wardat, Mahmoud Al-Ayyoub, Yaser Jararweh, Abdallah Khreishah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Cloud based data centers (DC) offering of virtually unlimited processing and storage capabilities faced a critical downside related to the enormous power consumption requirements. Powering and cooling DC has considerable share of the total DC operational costs in addition to the carbon tax. Server consolidation has been proposed as one viable solution that guarantees efficient power usage while maintaining quality of service requirements for the DC's services. This approach is simply about turning on and off the DC resources based on the incoming workload. In this paper, we are extending our previous work on expansion strategies for cloud services providers by considering the server consolidation technique in order to maximize the DC revenues while maintaining their service quality and reducing their carbon footprints.

Original languageEnglish (US)
Title of host publicationINFOCOM 2018 - IEEE Conference on Computer Communications Workshops
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages172-177
Number of pages6
ISBN (Electronic)9781538659793
DOIs
StatePublished - Jul 6 2018
Event2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018 - Honolulu, United States
Duration: Apr 15 2018Apr 19 2018

Other

Other2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018
Country/TerritoryUnited States
CityHonolulu
Period4/15/184/19/18

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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