Improved snake optimization-based task scheduling in cloud computing
The recent focus on cloud computing is due to its evolving platform and features like
multiplexing users on shared infrastructure and on-demand resource computation. Efficient …
multiplexing users on shared infrastructure and on-demand resource computation. Efficient …
[PDF][PDF] Blockchain-enabled infrastructural security solution for serverless consortium fog and edge computing
The robust development of the blockchain distributed ledger, the Internet of Things (IoT), and
fog computing-enabled connected devices and nodes has changed our lifestyle nowadays …
fog computing-enabled connected devices and nodes has changed our lifestyle nowadays …
Multi-agent deep reinforcement learning for computation offloading in cooperative edge network
P Wu, Y Guan - Journal of Intelligent Information Systems, 2024 - Springer
Abstract Mobile Edge Computing (MEC) has emerged as an effective paradigm for reducing
latency and enhancing computational efficiency. However, the rapid proliferation of edge …
latency and enhancing computational efficiency. However, the rapid proliferation of edge …
Joint UAV Deployment and Task Offloading in Large-Scale UAV-Assisted MEC: A Multiobjective Evolutionary Algorithm
With the development of digital economy technologies, mobile edge computing (MEC) has
emerged as a promising computing paradigm that provides mobile devices with closer edge …
emerged as a promising computing paradigm that provides mobile devices with closer edge …
Deep reinforcement learning method for task offloading in mobile edge computing networks based on parallel exploration with asynchronous training
J Chen, L **, R Yao, H Zhang - Mobile Networks and Applications, 2024 - Springer
In mobile edge computing (MEC), randomly offloading tasks to edge servers (ES) can cause
wireless devices (WD) to compete for limited bandwidth resources, leading to overall …
wireless devices (WD) to compete for limited bandwidth resources, leading to overall …
Blockchain-enabled trust management for secure content caching in mobile edge computing using deep reinforcement learning
Mobile edge computing (MEC) has introduced content edge caching to offload network
backhaul and improve user quality of experience by transferring frequently requested …
backhaul and improve user quality of experience by transferring frequently requested …
5G and edge: A reinforcement learning approach for Virtual Network Embedding with cost optimization and improved acceptance rate
Abstract 5G technologies are fueling a revolution across numerous industries, including
manufacturing, healthcare, and entertainment, by enabling the development and …
manufacturing, healthcare, and entertainment, by enabling the development and …
DELIGHT: a willingness-aware collaborative edge service offloading utilizing deep reinforcement learning
Under the impetus of mobile edge computing, mobile access networks and the Internet are
deeply integrated providing low-latency, high-reliability computing power for service …
deeply integrated providing low-latency, high-reliability computing power for service …
[HTML][HTML] Fault-Tolerant Scheduling Mechanism for Dynamic Edge Computing Scenarios Based on Graph Reinforcement Learning
Y Zhang, G **a, C Yu, H Li, H Li - Sensors, 2024 - mdpi.com
With the proliferation of Internet of Things (IoT) devices and edge nodes, edge computing
has taken on much of the real-time data processing and low-latency response tasks which …
has taken on much of the real-time data processing and low-latency response tasks which …
Deep reinforcement learning-based optimal deployment of IoT machine learning jobs in fog computing architecture
O Bushehrian, A Moazeni - Computing, 2025 - Springer
By increasing the number and variety of areas where IoT technology is being applied, the
challenges regarding the design and deployment of IoT applications and services have …
challenges regarding the design and deployment of IoT applications and services have …