Results 351 to 360 of about 5,254,563 (393)

Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing

IEEE Transactions on Mobile Computing, 2022
Vehicular edge computing (VEC) is a promising paradigm based on the Internet of vehicles to provide computing resources for end users and relieve heavy traffic burden for cellular networks. In this paper, we consider a VEC network with dynamic topologies,
Xiaojie Wang, Zhaolong Ning, Song Guo, Lei Wang   +3 more
semanticscholar   +1 more source

Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing

IEEE Transactions on Industrial Informatics, 2022
With the potential of implementing computing-intensive applications, edge computing is combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance intelligent transportation capabilities.
Xiaolong Xu, Bowen Shen, Shengchao Ding, Gautam Srivastava, M. Bilal, M. Khosravi, Varun G. Menon, M. Jan, Maoli Wang   +8 more
semanticscholar   +1 more source

Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing

IEEE Transactions on Wireless Communications, 2022
Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless networks.
Nan Zhao, Zhiyang Ye, Yiyang Pei, Ying-Chang Liang, Dusist Niyato   +4 more
semanticscholar   +1 more source

An Introduction to Edge Computing

2021
With the continuous development of the Internet of Things (IoTs) applications, such as smart cities and intelligent transportation, and the rapid development of location-aware and context-aware services, the number of IoTs equipment connections and data generated demonstrate massive growth trends.
Longxiang Gao, Tom H. Luan, Bruce Gu, Youyang Qu, Yong Xiang   +4 more
openaire   +3 more sources

Edge-computing-driven Internet of Things: A Survey

ACM Computing Surveys, 2022
The Internet of Things (IoT) is impacting the world’s connectivity landscape. More and more IoT devices are connected, bringing many benefits to our daily lives. However, the influx of IoT devices poses non-trivial challenges for the existing cloud-based
L. Kong, Jinlin Tan, Junqin Huang, Guihai Chen, Shuaitian Wang, Xi Jin, Peng Zeng, M. K. Khan, Sajal K. Das   +8 more
semanticscholar   +1 more source

Edge Computing for Internet of Everything: A Survey

IEEE Internet of Things Journal, 2022
In this era of the Internet of Everything (IoE), edge computing has emerged as the critical enabling technology to solve a series of issues caused by an increasing amount of interconnected devices and large-scale data transmission.
X. Kong, Yuhan Wu, Haibo Wang, Feng Xia
semanticscholar   +1 more source

Enhancing Mobile Edge Computing Architecture with Human-Driven Edge Computing Model

2018 14th International Conference on Intelligent Environments (IE), 2018
In an increasingly interconnected world, mobile and wearable devices, through short range communication interfaces and sensors, become needful tools for collecting and disseminating information in high population density environments. In this context Mobile Crowdsensing (MCS), leveraging people's roaming and their devices' resources, raised the citizen
Belli D, Chessa S, Foschini L, Girolami M   +3 more
openaire   +4 more sources

Computation at the Edge with WebAssembly

2021
The introduction of WebAssembly in 2017 opened a new door for performing computation in the browser at 0.9 the speed of C/C++ code (Haas et al. ACM SIGPLAN Notices 52(6), 185–200, 2017). As browsers are the most ubiquitous software, it is now possible to build universal applications that run on every machine that has a web browser installed on it.
C. Edward Chow, Jebreel Alamari
openaire   +2 more sources

Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing

2017 Global Internet of Things Summit (GIoTS), 2017
When it comes to storage and computation of large scales of data, Cloud Computing has acted as the de-facto solution over the past decade. However, with the massive growth in intelligent and mobile devices coupled with technologies like Internet of Things (IoT), V2X Communications, Augmented Reality (AR), the focus has shifted towards gaining real-time
Soumya Kanti Datta, Koustabh Dolui
openaire   +2 more sources

Edge Computing in Smart Production

2019
Flexibility in mass-customized manufacturing can be supported significantly by the introduction of Cyber-Physical Production System and the connection of production modules to AI (artificial intelligence) Cloud services. Even though there exist standardized protocols from device to IT system, there are still challenges for the synchronization between ...
Um, Jumyung, Gezer, Volkan, Wagner, Achim, Ruskowski, Martin   +3 more
openaire   +2 more sources