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.
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Acknowledgement
This research was supported by the MSIP under the ITRC (Information Technology Research Center) support program (NIPA-2014(H0301-14-1020)) supervised by the NIPA (National IT Industry Promotion Agency), and ‘The Cross-Ministry Giga KOREA Project’ grant from the Ministry of Science, ICT and Future Planning, Korea.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Choi, J., Ha, Y., Choi, G., Youn, CH. (2016). An Adaptive VM Reservation Scheme with Prediction and Task Allocation in Cloud. In: Zhang, Y., Peng, L., Youn, CH. (eds) Cloud Computing. CloudComp 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 167. Springer, Cham. https://doi.org/10.1007/978-3-319-38904-2_6
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DOI: https://doi.org/10.1007/978-3-319-38904-2_6
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