Results 41 to 50 of about 36,405 (319)

Joint Optimization of Computation Offloading and Task Scheduling in Vehicular Edge Computing Networks

open access: yesIEEE Access, 2020
Resource-intensive applications on smart vehicles is posing difficulties to the use of traditional cloud computing for computation offloading in vehicular networks.
Jianan Sun   +5 more
doaj   +1 more source

Optimizing strategy of computing off loading energy consumption based on Lagrangian method

open access: yesDianxin kexue, 2018
With the development of mobile network technology and the popularization and application of intelligent terminals,mobile edge computing has become an important application of cloud computing.Computing offloading strategy has become one of the key issues ...
Guangxue YUE   +5 more
doaj   +2 more sources

Efficient task offloading using particle swarm optimization algorithm in edge computing for industrial internet of things

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2021
As a new form of computing based on the core technology of cloud computing and built on edge infrastructure, edge computing can handle computing-intensive and delay-sensitive tasks.
Qian You, Bing Tang
doaj   +1 more source

Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing

open access: yes, 2017
Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices, referred to as ...
Brown, AndrĂ© EX   +11 more
core   +5 more sources

On the Performance and Optimization for MEC Networks Using Uplink NOMA

open access: yes, 2019
In this paper, we investigate a non-orthogonal multiple access (NOMA) based mobile edge computing (MEC) network, in which two users may partially offload their respective tasks to a single MEC server through uplink NOMA.
Hu, Rose Qingyang   +3 more
core   +1 more source

Optimization in Edge Computing: A Survey

open access: yesAl-Iraqia Journal for Scientific Engineering Research, 2023
Due to advancement, there are now more smart devices connected to the internet., which causes massive data traffic in the network. Resulting in many problems such as slow response time, largely consumed energy, high load in transmission channels, and ...
Raghad Jassim Mohammed   +1 more
doaj   +1 more source

Optimal Resource Allocation in Ultra-low Power Fog-computing SWIPT-based Networks

open access: yes, 2017
In this paper, we consider a fog computing system consisting of a multi-antenna access point (AP), an ultra-low power (ULP) single antenna device and a fog server.
Janatian, Nafiseh   +2 more
core   +1 more source

Task offloading method of edge computing in IoT based on Deep Q Learning Algorithm

open access: yesJournal of Information and Telecommunication
To improve the efficiency of task offloading in edge computing of the Internet of Things, a multi-task offloading optimization model combining software definition network and dual depth Q network is proposed. First of all, the edge computing framework of
Zhenzhen Dong, Mingjian Zhang
doaj   +1 more source

Joint Optimization of Offloading Strategy and Power in Mobile-Edge Computing [PDF]

open access: yesJisuanji gongcheng, 2020
The main function of Mobile-Edge Computing Offloading(MECO),which is a key technology for mobile edge computing,is to migrate the compute-intensive tasks of Mobile Devices(MD) to edge servers to implement low-energy and low-latency services.However ...
YU Xiang, SHI Xueqin, LIU Yixun
doaj   +1 more source

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

open access: yes, 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 ...
Letaief, Khaled B.   +2 more
core   +2 more sources

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