Fog computing: Survey of trends, architectures, requirements, and research directions
Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …
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
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 …
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
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 …
deployment of Internet of Things (IoT) applications amongst researchers and technology …
Resnet-based deep learning multilayer fault detection model-based fault diagnosis
Fault detection has taken on critical relevance in today's automated manufacturing
processes. Defect tolerance, dependability, and safety are some of the fundamental design …
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 …
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 …
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 …
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
Next‐generation cloud data centers are based on software‐defined data center
infrastructures that promote flexibility, automation, optimization, and scalability. The Redfish …
infrastructures that promote flexibility, automation, optimization, and scalability. The Redfish …
[PDF][PDF] A novel Bi-level programming model for cloud logistics resources allocation
The logistics resources allocation study involves many interests under the cloud logistics
environment, but most previous publications focused the traditional decision making model …
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 …
to globalization developments contributing to massive production-related benefits …