Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
Abstract Mobile Edge Computing (MEC) is a modern paradigm that involves moving
computing and storage resources closer to the network edge, reducing latency, and …
computing and storage resources closer to the network edge, reducing latency, and …
An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC–MCC environments
Abstract Mobile Cloud Computing (MCC) integrates cloud computing into the mobile
environment, effectively tackling performance, environmental, and security constraints …
environment, effectively tackling performance, environmental, and security constraints …
[PDF][PDF] Wireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach
One of the missions of mobile edge computing (MEC) is to develop innovative applications
in closer proximity while preserving latency constraints. Integration of MEC with the …
in closer proximity while preserving latency constraints. Integration of MEC with the …
Multi-objective task-aware offloading and scheduling framework for internet of things logistics
IoT-based smart transportation monitors vehicles, cargo, and driver statuses for safe
movement. Due to the limited computational capabilities of the sensors, the IoT devices …
movement. Due to the limited computational capabilities of the sensors, the IoT devices …
Multi-strategy improved sand cat optimization algorithm-based workflow scheduling mechanism for heterogeneous edge computing environment
P Jayalakshmi, SSS Ramesh - Sustainable Computing: Informatics and …, 2024 - Elsevier
Edge computing is one of the predominant technologies which facilitates the option of
bringing out the computing resources closer to the location of the end users when they are …
bringing out the computing resources closer to the location of the end users when they are …
Load balance-aware dynamic cloud-edge-end collaborative offloading strategy
Y Fan - Plos one, 2024 - journals.plos.org
Cloud-edge-end (CEE) computing is a hybrid computing paradigm that converges the
principles of edge and cloud computing. In the design of CEE systems, a crucial challenge is …
principles of edge and cloud computing. In the design of CEE systems, a crucial challenge is …
Dependent Task Offloading and Resource Allocation via Deep Reinforcement Learning for Extended Reality in Mobile Edge Networks
X Yu, S Zhou, B Wei - Electronics, 2024 - mdpi.com
Extended reality (XR) is an immersive technology widely applied in various fields. Due to the
real-time interaction required between users and virtual environments, XR applications are …
real-time interaction required between users and virtual environments, XR applications are …
[HTML][HTML] Fault tolerant & priority basis task offloading and scheduling model for IoT logistics
Abstract The Internet of Things (IoT) has connected millions of devices to the internet for
communication and computation purposes. Due to constraints such as limited battery power …
communication and computation purposes. Due to constraints such as limited battery power …
Intelligent IoT-and UAV-Assisted Architecture for Pipeline Monitoring in OGI
With the advent of the Internet of Things (IoT) and unmanned aerial vehicles (UAVs) in
industrial application scenarios, oil and gas industry (OGI) automation is undergoing a …
industrial application scenarios, oil and gas industry (OGI) automation is undergoing a …