Results 1 to 10 of about 3,846,226 (201)

Mobile Personal Multi-Access Edge Computing Architecture Composed of Individual User Devices

open access: yesApplied Sciences, 2020
The Multi-Access Edge Computing (MEC) paradigm provides a promising solution to solve the resource-insufficiency problem in user mobile devices by offloading computation-intensive and delay-sensitive computing services to nearby edge nodes.
Juyong Lee, Jeong-Weon Kim, Jihoon Lee
doaj   +2 more sources

Stackelberg Model Based Distributed Pricing and Computation Offloading in Mobile Edge Computing [PDF]

open access: yesJisuanji kexue, 2023
As a novel computing paradigm,mobile edge computing(MEC) provides low latency and flexible computing and communication services for mobile devices by offloading computing tasks from mobile devices to the physically proximal network edge.However,because ...
CHEN Xuzhan, LIN Bing, CHEN Xing
doaj   +1 more source

Task Offloading and Resource Allocation Algorithm Based on Lyapunov in Mobile Edge Computing [PDF]

open access: yesJisuanji gongcheng, 2021
By deploying computing and storage resources at the edge of wireless network,Mobile Edge Computing(MEC) enables mobile devices to offload computing tasks to the MEC servers for processing,thereby effectively alleviating the contradiction between the ...
TANG Lun, HU Yanjuan, LIU Tong, CHEN Qianbin
doaj   +1 more source

Mobile learning evolution and emerging computing paradigms: An edge-based cloud architecture for reduced latencies and quick response time

open access: yesArray, 2022
The emerging computing paradigms like mobile cloud, mobile edge computing, fog computing, AI, and 5G provide the scope to advance mobile learning (m-learning) performances across educational disciplines.
Khalid Mohiuddin   +5 more
doaj   +1 more source

Cross-Server Computation Offloading for Multi-Task Mobile Edge Computing

open access: yesInformation, 2020
As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices.
Yongpeng Shi, Yujie Xia, Ya Gao
doaj   +1 more source

Artificial Intelligence-Empowered Edge of Vehicles: Architecture, Enabling Technologies, and Applications

open access: yesIEEE Access, 2020
With the proliferation of mobile devices and a wealth of rich application services, the Internet of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive computing tasks.
Hongjing Ji, Osama Alfarraj, Amr Tolba
doaj   +1 more source

Research of Mobile Edge Computing for Future Mobile Communications: A Review [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban
Mobile edge computing (MEC) has become one of the key technologies for future-oriented communica tions by offloading the computing and storage tasks of mobile terminals from centralized data centers to edge grids to satisfy the diverse device service ...
YANG Shouyi   +5 more
doaj   +1 more source

A Survey on Mobile Edge Computing Infrastructure: Design, Resource Management, and Optimization Approaches

open access: yesIEEE Access, 2022
Emerging 5G cellular networks are expected to face a dramatic increase in the volume of mobile traffic and IoT user requests due to the massive growth in mobile devices and the emergence of new compute-intensive applications.
Lina A. Haibeh   +2 more
doaj   +1 more source

Multi-objective Optimization of D2D Collaborative MEC Based on Improved NSGA-III [PDF]

open access: yesJisuanji kexue
In the current mobile edge computing(MEC),since tasks are directly uploaded to the MEC server for execution,there are problems such as high computing pressure on the edge server and insufficient utilization of resources on idle mobile devices.Using idle ...
WANG Zhihong, WANG Gaocai, ZHAO Qifei
doaj   +1 more source

IEEE Access Special Section Editorial: Mobile Edge Computing

open access: yesIEEE Access, 2020
Mobile edge computing (MEC) is emerging as a promising computing architecture by pushing computation and storage closer to end-users with both strategically deployed edge servers and opportunistic available resources.
Yan Zhang   +6 more
doaj   +1 more source

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