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- W4288064863 abstract "Due to ever increasing demand for cloud computing, the operational cost of data centers has increased many folds and is of major concern for the cloud providers. The reduction in the energy consumption of the servers and communication networks can significantly improve the overall operational cost of datacenters. The efficient virtual machine (VM) placement can optimize the utilization of server and network resources resulting in energy efficient datacenters. In this paper, an algorithm is proposed for addressing the multi-objective VM placement problem aiming to simultaneously reduce the server and network energy consumption. The simulation results confirm the effectiveness of the proposed approach as compared to other traditional VM placement algorithms in terms of energy efficiency. The result demonstrates that the solutions generated by our proposed algorithm are having energy consumption in the range of 8.6–32.4% which is less than FF (First Fit). Our proposed Algorithm outperforms as compared to other well-known algorithm on average, it achieves around 21.2% energy reduction." @default.
- W4288064863 created "2022-07-28" @default.
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- W4288064863 date "2022-01-01" @default.
- W4288064863 modified "2023-09-26" @default.
- W4288064863 title "Active VM Placement Approach Based on Energy Efficiency in Cloud Environment" @default.
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- W4288064863 doi "https://doi.org/10.1007/978-981-19-1018-0_4" @default.
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