Research Article
An Adaptive VM Reservation Scheme with Prediction and Task Allocation in Cloud
@INPROCEEDINGS{10.1007/978-3-319-38904-2_6, author={Jisoo Choi and Yungi Ha and Gyubeom Choi and Chan-Hyun Youn}, title={An Adaptive VM Reservation Scheme with Prediction and Task Allocation in Cloud}, proceedings={Cloud Computing. 6th International Conference, CloudComp 2015, Daejeon, South Korea, October 28-29, 2015, Proceedings}, proceedings_a={CLOUDCOMP}, year={2016}, month={5}, keywords={Cloud service brokers Prediction VM reservation VM replacement allocation}, doi={10.1007/978-3-319-38904-2_6} }- Jisoo Choi
Yungi Ha
Gyubeom Choi
Chan-Hyun Youn
Year: 2016
An Adaptive VM Reservation Scheme with Prediction and Task Allocation in Cloud
CLOUDCOMP
Springer
DOI: 10.1007/978-3-319-38904-2_6
Abstract
In a cloud environment, it is important for cloud broker to provide a cost-effective VM utilization. In this paper, we suggest a predicting scheme that can be applied for RVM provision by calculating demands. And there are some resource difference with respect to user’s needs on the process measuring clients’ needs. We also propose a method called M-C-VMA to handle the cost caused by the difference between real user demand and RVM provision. Performance evaluation showed that the proposed heuristic with VM Replacement is more efficient than C-VMA in cost performance. When M-C-VMA works on the VM allocation procedure, the result shows the higher RVM utilization than the not-modified method and consequently, it can lead the cost-efficient operation in broker system.