Abstract
In this paper, we present a virtualized resource allocation algorithm (vRAS), which is capable of dynamically predicting VM resource demands based on the real-time snapshot of server resource states. Furthermore, VMs experiencing the heavy resource utilization in the previous time period can be incentivized by obtaining more resources in the next time period, while trying to not aggravate other VMs’ application bandwidth running on the same host. We compared our method to other schemes to verify its effectiveness.
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Acknowledgements
This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (2019R1F1A1057082). Also, this work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020–0-00104, Development of low-latency storage module for I/O intensive edge data processing). We would like to thank Youngwoo Kim for his contribution to this paper.
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No, J., Park, Ss. (2021). vRAS: An Efficient Virtualized Resource Allocation Scheme. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2020. Lecture Notes in Computer Science(), vol 12608. Springer, Cham. https://doi.org/10.1007/978-3-030-74717-6_9
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DOI: https://doi.org/10.1007/978-3-030-74717-6_9
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