Results 331 to 340 of about 4,602,540 (372)

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

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

Coded Edge Computing

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020
Running intensive compute tasks across the fifth generation mobile network of edge devices introduces distributed computing challenges: edge devices are heterogeneous in the compute, storage, and communication capabilities; and can exhibit unpredictable straggler effects and failures.
Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang   +2 more
openaire   +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

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

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

Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing

IEEE transactions on intelligent transportation systems (Print), 2022
As a distributed deep learning paradigm, federated learning (FL) provides a powerful tool for the accurate and efficient processing of on-board data in vehicular edge computing (VEC). However, FL involves the training and transmission of model parameters,
Huizi Xiao, Jun Zhao, Qingqi Pei, Jie Feng, Lei Liu, Weisong Shi   +5 more
semanticscholar   +1 more source

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-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