TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Profit-Maximizing Virtual Machine Provisioning Based on Workload Prediction in Computing Cloud |
| 영문제목(English Title) |
Profit-Maximizing Virtual Machine Provisioning Based on Workload Prediction in Computing Cloud |
| 저자(Author) |
Qing Li
Qinghai Yang
Qingsu He
Kyung Sup Kwak
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| 원문수록처(Citation) |
VOL 09 NO. 12 PP. 4950 ~ 4966 (2015. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Cloud providers now face the problem of estimating the amount of computing resources required to satisfy a future workload. In this paper, a virtual machine provisioning (VMP) mechanism is designed to adapt workload fluctuation. The arrival rate of forthcoming jobs is predicted for acquiring the proper service rate by adopting an exponential smoothing (ES) method. The proper service rate is estimated to guarantee the service level agreement (SLA) constraints by using a diffusion approximation statistical model. The VMP problem is formulated as a facility location problem. Furthermore, it is characterized as the maximization of submodular function subject to the matroid constraints. A greedy-based VMP algorithm is designed to obtain the optimal virtual machine provision pattern. Simulation results illustrate that the proposed mechanism could increase the average profit efficiently without incurring significant quality of service (QoS) violations.
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| 키워드(Keyword) |
Cloud computing
virtual machine provision
service level agreement
workload prediction
profit maximization
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| 파일첨부 |
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