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)


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)
Number of pages8
ISBN (Electronic)9781467395656, 9781467395663
ISBN (Print)9781467395670
Publication statusPublished - 28 Oct 2015
EventInternational Conference on Cloud and Autonomic Computing, ICCAC 2015 - Boston, United States
Duration: 21 Sep 201525 Sep 2015


OtherInternational Conference on Cloud and Autonomic Computing, ICCAC 2015
CountryUnited States


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

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