Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …
implementation of 5G networks and the Internet of Things, as it is the best method of …
Optimal deployment of fog nodes, microservices and SDN controllers in time-sensitive IoT scenarios
JL Herrera, J Galán-Jiménez… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
The application of Internet of Things (IoT)-based solutions to intensive domains has enabled
the automation of real-world processes. The critical nature of these domains requires for …
the automation of real-world processes. The critical nature of these domains requires for …
Toward intelligent resource management in dynamic Fog Computing‐based Internet of Things environment with Deep Reinforcement Learning: A survey
S Gupta, N Singh - International Journal of Communication …, 2023 - Wiley Online Library
Fog computing has already started to gain a lot of momentum in the industry for its ability to
turn scattered computing resources into a large‐scale, virtualized, and elastic computing …
turn scattered computing resources into a large‐scale, virtualized, and elastic computing …
QoS performance enhancement policy through combining fog and SDN
The goal of Internet of Things (IoT) is to bring any object online, thereby creating a massive
volume of data that can overwhelm the existing computing and networking technologies …
volume of data that can overwhelm the existing computing and networking technologies …
[图书][B] Edge intelligence in the making: Optimization, deep learning, and applications
With the explosive growth of mobile computing and Internet of Things (IoT) applications, as
exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT …
exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT …
A survey on deep learning for challenged networks: Applications and trends
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
V-edge: Virtual edge computing as an enabler for novel microservices and cooperative computing
As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its
core idea is still intriguing: Instead of sending all data and tasks from an end user's device to …
core idea is still intriguing: Instead of sending all data and tasks from an end user's device to …
Advancing software-defined service-centric networking toward in-network intelligence
Recent advances separately in edge intelligence, service-centric networking, and software-
defined networking have profoundly impacted future networks and intelligent applications …
defined networking have profoundly impacted future networks and intelligent applications …
A learning-based resource provisioning approach in the fog computing environment
M Etemadi, M Ghobaei-Arani… - Journal of Experimental …, 2021 - Taylor & Francis
With the recent advancements in distributed computing technologies, the fog computing
model has emerged to provide resource capabilities at the edge of the network for executing …
model has emerged to provide resource capabilities at the edge of the network for executing …
Learning and management for Internet of Things: Accounting for adaptivity and scalability
Internet of Things (IoT) envisions an intelligent infrastructure of networked smart devices
offering task-specific monitoring and control services. The unique features of IoT include …
offering task-specific monitoring and control services. The unique features of IoT include …