Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

[HTML][HTML] Edge AI: a survey

R Singh, SS Gill - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

The internet of things security: A survey encompassing unexplored areas and new insights

AE Omolara, A Alabdulatif, OI Abiodun, M Alawida… - Computers & …, 2022 - Elsevier
The cosmic evolution of the Internet of things (IoTs) in par with its realization in all spheres of
life undertakings, mandates continuous research pursuits in IoT and its associated …

AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives

GK Walia, M Kumar, SS Gill - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Serverless computing: state-of-the-art, challenges and opportunities

Y Li, Y Lin, Y Wang, K Ye, C Xu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Serverless computing is growing in popularity by virtue of its lightweight and simplicity of
management. It achieves these merits by reducing the granularity of the computing unit to …

DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing

G Qu, H Wu, R Li, P Jiao - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

Fog computing: A taxonomy, systematic review, current trends and research challenges

J Singh, P Singh, SS Gill - Journal of Parallel and Distributed Computing, 2021 - Elsevier
There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Serverless computing for Internet of Things: A systematic literature review

GAS Cassel, VF Rodrigues, R da Rosa Righi… - Future Generation …, 2022 - Elsevier
Serverless computing, or Function as a Service (FaaS), represents a research trend where
applications are built and deployed as a group of stateless functions. Although initially …

Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies

NA Angel, D Ravindran, PMDR Vincent, K Srinivasan… - Sensors, 2021 - mdpi.com
Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …