Results 301 to 310 of about 3,699,940 (365)

Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing

IEEE transactions on intelligent transportation systems (Print), 2023
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the remarkable potential to reduce response delay and alleviate bandwidth pressure.
Lei Liu, Jie Feng, Xuanyu Mu, Qingqi Pei, Dapeng Lan, Ming Xiao   +5 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

Priority-Aware Resource Scheduling for UAV-Mounted Mobile Edge Computing Networks

IEEE Transactions on Vehicular Technology, 2023
In this paper, we investigate the joint impact of task priority and mobile computing service on the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) provides mobile computing service to help compute the tasks from users in
Wenqi Zhou, Lisheng Fan, Fasheng Zhou, Feng Li, Xianfu Lei, Wei-Qiang Xu, A. Nallanathan   +6 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

Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

IEEE Communications Surveys and Tutorials, 2020
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment through the network; establishes data acquisition, exchange, and analysis systems; and optimizes ...
Jiancheng Chi, Tie Qiu, Xiaobo Zhou
exaly   +2 more sources

Adaptive bandwidth reservation for multimedia computing

Proceedings Sixth International Conference on Real-Time Computing Systems and Applications. RTCSA'99 (Cat. No.PR00306), 2003
In this paper we present a framework for dynamically allocating the CPU resource to tasks whose execution times are not known a priori. Tasks are partitioned in three classes: the ones that require a uniform execution but do not impose any temporal constraint, periodic tasks that operate on continuous media, and event driven tasks that respond to ...
Abeni, Luca, GIORGIO BUTTAZZO
openaire   +4 more sources

Dedas: Online Task Dispatching and Scheduling with Bandwidth Constraint in Edge Computing

IEEE Conference on Computer Communications, 2019
In this paper, we study online deadline-aware task dispatching and scheduling in edge computing. We jointly consider management of the networking bandwidth and computing resources to meet the maximum number of deadlines.
Jiaying Meng, Haisheng Tan, Chao Xu, Wanli Cao, Liuyan Liu, Bojie Li   +5 more
semanticscholar   +1 more source

Bandwidth-Efficient Live Video Analytics for Drones Via Edge Computing

IFIP International Information Security Conference, 2018
Real-time video analytics on small autonomous drones poses several difficult challenges at the intersection of wireless bandwidth, processing capacity, energy consumption, result accuracy, and timeliness of results.
Junjue Wang, Ziqiang Feng, Zhuo Chen, S. George, Mihir Bala, Padmanabhan Pillai, Shao-Wen Yang, M. Satyanarayanan   +7 more
semanticscholar   +1 more source

Extending the computational bandwidth of engineering workstations

Seventh Annual International Phoenix Conference on Computers an Communications. 1988 Conference Proceedings, 1988
The authors describe their experience so far with the development of a distributed facility called REM (remote execution manager), which supports load sharing and remote execution in a local network of workstations. REM is implemented at the application layer and runs on workstations running Berkeley Unix.
Gholamali C. Shoja, W. Taylor
openaire   +2 more sources

Distributed Machine Learning for Multiuser Mobile Edge Computing Systems

IEEE Journal on Selected Topics in Signal Processing, 2022
In this paper, we investigate a distributed machine learning approach for a multiuser mobile edge computing (MEC) network in a cognitive eavesdropping environment, where multiple secondary devices (SDs) have some tasks with different priorities to be ...
Yinghao Guo, Rui Zhao, Shiwei Lai, Lisheng Fan, Xianfu Lei, G. Karagiannidis   +5 more
semanticscholar   +1 more source