Effective capacity modulation as an explicit control knob for public cloud profitability

Cheng Wang, Bhuvan Urgaonkar, Aayush Gupta, Lydia Y. Chen, Robert Birke, George Kesidis

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

15 Scopus citations

Abstract

We explore the efficacy of dynamic effective capacity modulation (i.e., using virtualization techniques to offer lower resource capacity than that advertised by the cloud provider) as an explicit control knob for a cloud provider's profit maximization complementing the more well-studied approach of dynamic pricing. Our focus is on emerging cloud ecosystems wherein we expect tenants to modify their demands strategically in response to such modulation in effective capacity and prices. We consider a simple model of a cloud provider that offers a single type of virtual machine to its tenants and devise a leader/follower game-based control framework to capture the interactions between the provider and its tenants. We assume both parties employ myopic control and short-term predictions to reflect their operation under the high dynamism and poor predictability in such environments. Our evaluation using a combination of real-world data center traces and benchmarks hosted on a prototype OpenStack-based cloud shows 10-30% profit improvement for a cloud provider compared with baselines that use static pricing and/or static effective capacity.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE International Conference on Autonomic Computing, ICAC 2016
EditorsHolger Giese, Samuel Kounev, Jie Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-104
Number of pages10
ISBN (Electronic)9781509016532
DOIs
StatePublished - Sep 21 2016
Event13th IEEE International Conference on Autonomic Computing, ICAC 2016 - Wurzburg, Germany
Duration: Jul 18 2016Jul 22 2016

Publication series

NameProceedings - 2016 IEEE International Conference on Autonomic Computing, ICAC 2016

Other

Other13th IEEE International Conference on Autonomic Computing, ICAC 2016
CountryGermany
CityWurzburg
Period7/18/167/22/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering

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