Fog computing: Survey of trends, architectures, requirements, and research directions

RK Naha, S Garg, D Georgakopoulos… - IEEE …, 2018 - ieeexplore.ieee.org
Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …

Authentication, access control, privacy, threats and trust management towards securing fog computing environments: A review

AAN Patwary, A Fu, RK Naha, SK Battula… - arXiv preprint arXiv …, 2020 - arxiv.org
Fog computing is an emerging computing paradigm that has come into consideration for the
deployment of IoT applications amongst researchers and technology industries over the last …

[HTML][HTML] Towards secure fog computing: A survey on trust management, privacy, authentication, threats and access control

AAN Patwary, RK Naha, S Garg, SK Battula… - Electronics, 2021 - mdpi.com
Fog computing is an emerging computing paradigm that has come into consideration for the
deployment of Internet of Things (IoT) applications amongst researchers and technology …

Resnet-based deep learning multilayer fault detection model-based fault diagnosis

MM Jaber, MH Ali, SK Abd, MM Jassim… - Multimedia Tools and …, 2024 - Springer
Fault detection has taken on critical relevance in today's automated manufacturing
processes. Defect tolerance, dependability, and safety are some of the fundamental design …

Comprehensive and systematic study on the fault tolerance architectures in cloud computing

V Mohammadian, NJ Navimipour… - Journal of Circuits …, 2020 - World Scientific
Providing dynamic resources is based on the virtualization features of the cloud
environment. Cloud computing as an emerging technology uses a high availability of …

Control optimisation of automated guided vehicles in container terminal based on Petri network and dynamic path planning

M Wu, J Gao, L Li, Y Wang - Computers and Electrical Engineering, 2022 - Elsevier
To solve the problem of path optimisation and obstacle avoidance of automated guided
vehicles (AGV) in the horizontal transportation of container terminals, this study proposed …

Information retrieval and optimization in distribution and logistics management using deep reinforcement learning

L Yang, VE Sathishkumar, A Manickam - International Journal of …, 2023 - igi-global.com
Resource balance is one of the most critical concerns in the existing logistic domain within
dynamic transport networks. Modern solutions are used to maximize demand and supply …

Availability analysis of design configurations to compose virtual performance‐optimized data center systems in next‐generation cloud data centers

D Rosendo, D Gomes, G Leoni Santos… - Software: Practice …, 2020 - Wiley Online Library
Next‐generation cloud data centers are based on software‐defined data center
infrastructures that promote flexibility, automation, optimization, and scalability. The Redfish …

[PDF][PDF] A novel Bi-level programming model for cloud logistics resources allocation

F Zhou, Y He, L Deng, M Wang - Journal of Computers (Taiwan), 2019 - csroc.org.tw
The logistics resources allocation study involves many interests under the cloud logistics
environment, but most previous publications focused the traditional decision making model …

[HTML][HTML] Swarm Intelligence Technique for Supply Chain Market in Logistic Analytics Management

Q Tian, Q Yin, Y Meng - … Journal of Information Systems and Supply …, 2022 - igi-global.com
Supply chain management has become increasingly important as an academic subject due
to globalization developments contributing to massive production-related benefits …