Dec 2, 2019 · The study is pursued by collecting over 1.1 million data points and the preliminary results indicate that offloading can be modelled accurately.
Sep 11, 2019 · The study is pursued by collecting over 1.1 million data points and the preliminary results indicate that offloading can be modelled accurately.
The research in this paper is motivated towards characterising and estimating the time taken to oload a service using containers, which is investigated in the.
Performance Estimation of Container-Based Cloud-to-Fog ...
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A Cloud to Fog based model to predict offloading time for stateless container technology has been proposed using machine learning techniques [28] . Live ...
Sep 16, 2019 · The research in this paper is motivated towards characterising and estimating the time taken to offload a service using containers, which is ...
TL;DR: The study characterising and estimating the time taken to offload a service using containers, which is investigated in the context of the 'Save and ...
The research in this paper is motivated towards characterising and estimating the time taken to oload a service using containers, which is investigated in the ...
Missing: Offloading. | Show results with:Offloading.
This paper suggests a dynamic integer linear programming technique for facilitating optimal task offloading that distributes resources from the fog computing ...
Feb 16, 2021 · This paper aims to establish guidelines and identify critical factors for containerized services deployment on resource constrained IoT devices.
Missing: Estimation | Show results with:Estimation
The research in this paper is motivated towards characterising and estimating the time taken to offload a service using containers, which is investigated in the ...