Results 1 to 10 of about 14,318 (130)

Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices

open access: yesIEEE Journal on Selected Areas in Communications, 2016
Mobile-edge computing (MEC) is an emerging paradigm to meet the ever-increasing computation demands from mobile applications. By offloading the computationally intensive workloads to the MEC server, the quality of computation experience, e.g., the ...
Yuyi Mao, Jun Zhang, Khaled B Letaief
exaly   +4 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

Offloading Optimization for Low-Latency Secure Mobile Edge Computing Systems [PDF]

open access: yes, 2020
This paper proposes a low-latency secure mobile edge computing (MEC) system where multiple users offload computing tasks to a base station in the presence of an eavesdropper.
Elkashlan, Maged   +7 more
core   +2 more sources

Computing and relaying : utilizing mobile edge computing for P2P communications [PDF]

open access: yes, 2020
Besides increasing the computing capacity of edge devices, mobile edge computing (MEC) can also be utilized to help communication. This paper proposes an MEC-assisted computing and relaying scheme to enhance the throughput of uncompressed data for mobile
Chen, Li   +5 more
core   +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

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   +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

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