Fine-grained, adaptive resource sharing for real pay-per-use pricing in clouds

Young Choon Lee, Youngjin Kim, Hyuck Han, Sooyong Kang

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

4 Citations (Scopus)

Abstract

Cloud computing is characterized by its essentially pay-per-use pricing with elasticity. Typically, the granularity of usage for such pricing is at virtual machine (VM) level in IaaS clouds, e.g., a multiple of machine hours. The elasticity and cost effectiveness in these clouds are primarily achieved through the exploitation of resource virtualization and sharing. However, a majority of applications running on VMs in clouds struggle to fully utilize resources allocated to them. Since co-location granularity is strictly restricted to VM level and resources allocated to VMs are space-shared, the unused resources are apt to be wasted while users are still charged for such wastage. In this paper, we address the problem of fine-grained and adaptive resource sharing for real pay-per-use pricing. To this end, we devise a resource management mechanism as a cost efficiency solution for both users and providers of clouds. The mechanism consists of a container-based resource allocator and a real-usage based pricing scheme. We demonstrate the efficacy of this mechanism via experiments, in Amazon EC2, using two typical workloads in clouds, web services and database services, and a compute-intensive high energy physics application. Our results show that the mechanism can achieve near-optimal cost efficiency.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Cloud and Autonomic Computing, ICCAC 2015
Place of PublicationPicataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages236-243
Number of pages8
ISBN (Electronic)9781467395656, 9781467395663
ISBN (Print)9781467395670
DOIs
Publication statusPublished - 28 Oct 2015
EventInternational Conference on Cloud and Autonomic Computing, ICCAC 2015 - Boston, United States
Duration: 21 Sep 201525 Sep 2015

Other

OtherInternational Conference on Cloud and Autonomic Computing, ICCAC 2015
CountryUnited States
CityBoston
Period21/09/1525/09/15

Keywords

  • Cloud computing
  • fine-grained resource sharing
  • containerization
  • pay-per-use pricing

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