Apr 22, 2021 · Abstract: Tasks allocation at the edge of the network is a significant research topic for the upcoming new era of the intelligent edge mesh.
We propose a data-driven approach that delivers the upper and lower bounds of our Type-2 fuzzy sets and present the corresponding model. We incorporate the ...
In this paper, we propose a model for allocating tasks under the uncertainty present in an edge computing environment. The uncertainty is related to the current ...
Apr 24, 2022 · In this paper, we study certain computational offloading techniques in autonomous computing nodes (ANs) at the edge.
In this paper, we propose an uncertainty management model to efficiently allocate every incoming query to the available edge nodes.
We introduce a novel Fuzzy inference mechanism for determining whether data-driven tasks should be executed locally, offloaded to peer edge servers, or sent to ...
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Data-driven tasks' popularity and data availability are fed into a novel two-stages Fuzzy Logic (FL) inference system that determines the probability of either ...
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Interval type-2 fuzzy neural networks (IT2FNNs) have gained sustainable attention and wide applications because of their power of adaptive fuzzy modeling.
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Abstract. With the advent of edge computing, the Internet of Things (IoT) environment has the ability to process data locally. The.
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Tasks are processed at the central server that will send the response back to the device. ✓ The whole process typically takes less than a second,.