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 …

human activity recognition data analysis: History, evolutions, and new trends

PP Ariza-Colpas, E Vicario, AI Oviedo-Carrascal… - Sensors, 2022 - mdpi.com
The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses
on generating innovative technology, products, and services to assist, medical care and …

Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing

J Zhou, UK Lilhore, T Hai, S Simaiya… - Journal of cloud …, 2023 - Springer
Load balancing is a serious problem in cloud computing that makes it challenging to ensure
the proper functioning of services contiguous to the Quality of Service, performance …

[HTML][HTML] Enhancing investigations in data migration and security using sequence cover cat and cover particle swarm optimization in the fog paradigm

T Saravanan, S Saravanakumar - International Journal of Intelligent …, 2022 - Elsevier
In recent years, fog and mobile edge computing have grown rapidly due to the large amount
of data generated by the Internet of Thing (IoT) devices. It provides a variety of services …

Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions

G Zhou, W Tian, R Buyya, R Xue, L Song - Artificial Intelligence Review, 2024 - Springer
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …

Network resource management mechanisms in SDN enabled WSNs: A comprehensive review

V Tyagi, S Singh - Computer Science Review, 2023 - Elsevier
Wireless technologies usually have very limited computing, memory, and battery power that
require the optimal management of network resources to increase network performance …

Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence

R Aron, A Abraham - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The growth and development of scientific applications have demanded the creation of
efficient resource management systems. Resource provisioning and scheduling are two …

Machine learning-based solutions for resource management in fog computing

M Fahimullah, S Ahvar, M Agarwal… - Multimedia Tools and …, 2024 - Springer
Fog computing is a paradigm that offers distributed and diverse resources at the network
edge to fulfill the quality of service requirements. However, effectively managing these …

Efficient prediction of makespan matrix workflow scheduling algorithm for heterogeneous cloud environments

L Zhang, M Ai, R Tan, J Man, X Deng, K Li - Journal of Grid Computing, 2023 - Springer
Leveraging a cloud computing environment for executing workflow applications offers high
flexibility and strong scalability, thereby significantly improving resource utilization. Current …

SD-SRF: An Intelligent Service Deployment Scheme for Serverless-operated Cloud-Edge Computing in 6G Networks

L Wang, A Liu, NN Xiong, S Zhang, T Wang… - Future Generation …, 2024 - Elsevier
With the development of serverless computing, developers can implement and deploy
business applications as a combination of stateless functions. Although originally proposed …