Predicting task offloading requests and resource demands in IoT edge computing using hybrid deep learning model

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Publication Details

Journal
Journal of Cloud Computing Advances Systems and Applications
Published
2026-06-26
DOI
https://doi.org/10.1186/s13677-026-00947-w
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting task offloading requests and resource demands in IoT edge computing using hybrid deep learning model

Ketema Adere Gemeda, Abdu Aliyi Geleta
Journal of Cloud Computing Advances Systems and Applications
IoT and Edge/Fog Computing
article

Predicting task offloading requests and resource demands in IoT edge computing using hybrid deep learning model

Ketema Adere Gemeda, Abdu Aliyi Geleta
article en

Abstract

No abstract available for this paper.
Journal of Cloud Computing Advances Systems and Applications
Adama Science and Technology University (ET)
Openalex Percentile: Top 4%
IoT and Edge/Fog Computing
DOIOpen Access PDFOpenAlex
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Predicting task offloading requests and resource demands in IoT edge computing using hybrid deep learning model — Ketema Adere Gemeda, Abdu Aliyi Geleta · Journal of Cloud Computing Advances Systems and Applications (2026) | TGRS Research Map | TGRS