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Younghun Go

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NetAP-ML: Machine Learning-Assisted Adaptive Polling Technique for Virtualized IoT Devices

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By Cheol-Ho Hong, Hyunchan Park, Younghun Go, Kyungwoon Lee
| MDPI
4. Evaluation We implemented NetAP-ML on Linux v5.1.5 and evaluated it to demonstrate that NetAP-ML searches a near-optimal polling interval more efficiently and accurately than the previous work, NetAP. Experiments were performed on a KVM-virtualized system equipped with a 24-core CPU, 128 GB RAM, and a 10 GbE NIC. A VM is allocated six vCPUs and 1 GB of memory. The NIC is shared with VMs using MacVtap.
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