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Fine-Grained, Adaptive Resource Sharing for Real Pay-Per-Use Pricing in Clouds

Title
Fine-Grained, Adaptive Resource Sharing for Real Pay-Per-Use Pricing in Clouds
Author
강수용
Keywords
pay-per-use pricing; Cloud computing; fine-grained resource sharing; containerization
Issue Date
2015-09
Publisher
IEEE
Citation
Cloud and Autonomic Computing (ICCAC), 2015 International Conference on, Page. 236-243
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.
URI
http://ieeexplore.ieee.org/document/7312164/http://hdl.handle.net/20.500.11754/27424
ISBN
978-1-4673-9566-3; 978-1-4673-9565-6; 978-1-4673-9567-0
DOI
10.1109/ICCAC.2015.36
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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