Results 21 to 30 of about 1,896 (253)
Intelligent Resource Allocation for Utility Optimization in RSU-Empowered Vehicular Network
IEEE Access, 2020 Intelligent transportation system (ITS) has attracted extensive attention in both academia and industry for its potential benefits. For example, ITS is dedicated to convenient, economical and environmentally friendly service provisioning for the drivers ...
Chaogang Tang +5 more
doaj +1 more source
Optimization design of railway logistics center layout based on mobile cloud edge computing [PDF]
PeerJ Computer Science, 2023 With the development of the economy, the importance of railway freight transportation has become essential. The efficiency of a railway logistics center depends on the types, quantities, information exchange, and layout optimization.
Xiaoling Zhang
doaj +2 more sources
Can cloudlet coordination support cloud computing infrastructure?
Journal of Cloud Computing: Advances, Systems and Applications, 2018 The popularity of mobile applications on smartphones requires mobile devices to perform high-performing processing tasks. The computational resources of these devices are limited due to memory, battery life, heat, and weight dissipation.
Abdullah Alsaleh
doaj +1 more source
UniDRM: Unified Data and Resource Management for Federated Vehicular Cloud Computing
IEEE Access, 2021 The demand for computational resources in vehicular environments has increased due to the deployment of numerous intelligent transportation systems in the last decade.
Wiseborn M. Danquah, D. Turgay Altilar
doaj +1 more source
ESCOVE: Energy-SLA-Aware Edge–Cloud Computation Offloading in Vehicular Networks
Sensors, 2021 The vehicular network is an emerging technology in the Intelligent Smart Transportation era. The network provides mechanisms for running different applications, such as accident prevention, publishing and consuming services, and traffic flow management ...
Leila Ismail, Huned Materwala
doaj +1 more source
Collaborative Edge and Cloud Offloading for Internet of Vehicles Using Multi-Agent Reinforcement Learning [PDF]
Jisuanji gongcheng, 2021 Edge computing for Internet of Vehicles(IoV) is key to realizing highly reliable and low-latency IoV systems.However,existing methods generally have the problems of scene convergence and system modeling limitations,and are faced with complex training ...
YE Peiwen, JIA Xiangdong, YANG Xiaorong, NIU Chunyu
doaj +1 more source
IEEE Access, 2020 The promise of low latency connectivity and efficient bandwidth utilization has driven the recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC).
Mashael Khayyat +5 more
doaj +1 more source
A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks [PDF]
PeerJ Computer Science, 2021 Vehicular edge computing (VEC) is a potential field that distributes computational tasks between VEC servers and local vehicular terminals, hence improve vehicular services. At present, vehicles’ intelligence and capabilities are rapidly improving, which
Salman Raza +5 more
doaj +2 more sources
Computation Offloading for Vehicular Environments: A Survey
IEEE Access, 2020 With significant advances in communication and computing, modern day vehicles are becoming increasingly intelligent. This gives them the ability to contribute to safer roads and passenger comfort through network devices, cameras, sensors, and ...
Alisson Barbosa De Souza +8 more
doaj +1 more source
A survey on vehicular task offloading: Classification, issues, and challenges
Journal of King Saud University: Computer and Information Sciences, 2022 Emerging vehicular applications with strict latency and reliability requirements pose high computing requirements, and current vehicles’ computational resources are not adequate to meet these demands.
Manzoor Ahmed +7 more
doaj +1 more source