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Incentivizing Self-Capping to Increase Cloud Utilization
Princeton University.
Umeå University, Faculty of Science and Technology, Department of Computing Science. (DS)ORCID iD: 0000-0003-0106-3049
Princeton University.
Princeton University / Purdue University.
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2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Cloud Infrastructure as a Service (IaaS) providers continually seek higher resource utilization to better amortize capital costs. Higher utilization not only can enable higher profit for IaaS providers but also provides a mechanism to raise energy efficiency; therefore creating greener cloud services. Unfortunately, achieving high utilization is difficult mainly due to infrastructure providers needing to maintain spare capacity to service demand fluctuations.

Graceful degradation is a self-adaptation technique originally designed for constructing robust services that survive resource shortages. Previous work has shown that graceful degradation can also be used to improve resource utilization in the cloud by absorbing demand fluctuations and reducing spare capacity. In this work, we build a system and pricing model that enables infrastructure providers to incentivize their tenants to use graceful degradation. By using graceful degradation with an appropriate pricing model, the infrastructure provider can realize higher resource utilization while simultaneously, its tenants can increase their profit. Our proposed solution is based on a hybrid model which guarantees both reserved and peak on-demand capacities over flexible periods. It also includes a global dynamic price pair for capacity which remains uniform during each tenant's Service Level Agreement (SLA) term.

We evaluate our scheme using simulations based on real-world traces and also implement a prototype using RUBiS on the Xen hypervisor as an end-to-end demonstration. Our analysis shows that the proposed scheme never hurts a tenant's net profit, but can improve it by as much as 93%. Simultaneously, it can also improve the effective utilization of contracts from 42% to as high as 99%.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017.
Keyword [en]
cloud computing, pricing model, economic incentives, utilization, resource management, dynamic pricing, SLA, IaaS
National Category
Computer Systems Computer Science
Research subject
Computer Systems; Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-138268DOI: 110.1145/3127479.3128611OAI: oai:DiVA.org:umu-138268DiVA: diva2:1133511
Conference
ACM Symposium on Cloud Computing 2017 (SoCC '17)
Projects
Wallenberg Autonomous Systems and Software Program
Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-08-16

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf