To overcome this issue, in this paper, a multi-task learning model based predictive offloading method is proposed to assign the computation tasks based on their ...
To overcome this issue, in this paper, a multi-task learning model based predictive offloading method is proposed to assign the computation tasks based on their ...
Fog. Conference Paper. Predictive Offloading in Fog Manufacturing for Computational Pipelines using Multi-task Learning. August 2021. DOI:10.1109/CASE49439 ...
Predictive Offloading in Fog Manufacturing for. Computational Pipelines using Multi-task Learning. Vignesh Raja Nallendran. Grado Department of Industrial and.
Vignesh Raja Nallendran, Lening Wang, Ran Jin: Predictive Offloading in Fog Manufacturing for Computational Pipelines using Multi-task Learning.
Nallendran, R.V., Wang, L., and Jin, R., 2021, “Predictive Offloading in Fog Manufacturing for Computational Pipelines using Multi-task Learning,” in ...
Feb 3, 2021 · Predicting Performance Run-time Metrics in Fog Manufacturing using Multi-task Learning ... Fog manufacturing, optimal computation task offloading.
Fog manufacturing combines Fog and Cloud computing in a manufacturing network to provide efficient data analytics and support real-time decision-making.
A multi-task learning model based predictive offloading method is proposed to assign the computation tasks based on their predicted run-time metrics in Fog ...
In this paper, we propose a secure computation offloading scheme in Fog-Cloud-IoT environment (SecOFF-FCIoT). Using machine learning strategies, we accomplish ...
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