Results 311 to 320 of about 4,602,540 (372)

Joint Optimization of Computing Offloading and Service Caching in Edge Computing-Based Smart Grid

IEEE Transactions on Cloud Computing, 2023
With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in the number of Smart Devices (SDs), the data generated by SDs has exponentially increased. The traditional cloud-based smart grid cannot meet the low latency and
Huan Zhou, Zhenyu Zhang, Dawei Li, Zhou Su   +3 more
semanticscholar   +1 more source

AI-Enabled Secure Microservices in Edge Computing: Opportunities and Challenges

IEEE Transactions on Services Computing, 2023
The paradigm of edge computing has formed an innovative scope within the domain of the Internet of Things (IoT) through expanding the services of the cloud to the network edge to design distributed architectures and securely enhance decision-making ...
Firas Al-Doghman, Nour Moustafa, I. Khalil, Z. Tari, Albert Y. Zomaya   +4 more
semanticscholar   +1 more source

Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing

IEEE Transactions on Mobile Computing, 2023
We consider the problem of task offloading and resource allocation in mobile edge computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile devices (MDs) may offload their tasks to edge servers based on the allocated ...
Hongbo Jiang, Xingxia Dai, Zhu Xiao, A. Iyengar   +3 more
semanticscholar   +1 more source

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing

IEEE Transactions on Mobile Computing, 2023
In edge computing (EC), federated learning (FL) enables massive devices to collaboratively train AI models without exposing local data. In order to avoid the possible bottleneck of the parameter server (PS) architecture, we concentrate on the ...
Lun Wang, Yang Xu, Hongli Xu, Min Chen, Liusheng Huang   +4 more
semanticscholar   +1 more source

Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection

IEEE Transactions on Network Science and Engineering, 2023
With fast increase in volume of mobile multimedia data, how to apply powerful deep learning methods to process data with real-time response becomes a major issue.
Yirui Wu, Haifeng Guo, Chinmay Chakraborty, Mohammad Khosravi, S. Berretti, Shaohua Wan   +5 more
semanticscholar   +1 more source

Wireless Powered Mobile Edge Computing Networks: A Survey

ACM Computing Surveys, 2023
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve computing capabilities of mobile devices and energy compensation for their limited battery ...
Xiaojie Wang, Jiameng Li, Zhaolong Ning, Qingyang Song, Lei Guo, Song Guo, M. Obaidat   +6 more
semanticscholar   +1 more source

Schema Design with Intelligent Multi Modelling Edge Computing Techniques for Industrial Applications

2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), 2023
The Internet has become one of the most essential sources of information and knowledge for consumers. It is important to figure out how to get users' specific needs from the large number of network document resources in a precise and efficient way ...
P. William, Narendar Chinthamu, Indradeep Kumar, Manish Gupta, Anurag Shrivastava, Arun Pratap Srivastava   +5 more
semanticscholar   +1 more source

Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing

IEEE Transactions on Mobile Computing, 2023
This article proposes a novel Reverse Auction-based Computation Offloading and Resource Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing.
Huan Zhou, Tong Wu, Xin Chen, Shibo He, Deke Guo, Jie Wu   +5 more
semanticscholar   +1 more source

Aerial Edge Computing on Orbit: A Task Offloading and Allocation Scheme

IEEE Transactions on Network Science and Engineering, 2023
As the communication mode with the greatest attention and global network coverage, the Low Earth Orbit (LEO) satellite network has the characteristics of low propagation delay, low link loss and handheld terminal.
Yuru Zhang, Chen Chen, Lei Liu, Dapeng Lan, Hongbo Jiang, Shaohua Wan   +5 more
semanticscholar   +1 more source

Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions

IEEE Communications Surveys and Tutorials, 2023
Full leverage of the huge volume of data generated on a large number of user devices for providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI).
Qiang Duan, Jun Huang, Shijing Hu, Ruijun Deng, Zhihui Lu, Shui Yu   +5 more
semanticscholar   +1 more source