Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing

Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing

Mobile crowd computing (MCC) that utilizes public-owned (crowd’s) smart mobile devices (SMDs) collectively can give adequate computing power without any additional financial and ecological cost. However, the major challenge is to cope with the mobility (or availability) issue of SMDs. Use...

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Bibliographic Details
Main Authors: Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Kyung-Sup Kwak, Prasenjit Choudhury
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Mobile grid
mobile computing
resource selection
availability prediction
deep learning
convolutional feature extraction
Online Access:https://ieeexplore.ieee.org/document/9509524/

Internet

https://ieeexplore.ieee.org/document/9509524/

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