Results 21 to 30 of about 4,629 (208)

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

Dianxin 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, Youkang ZHU, Jiansheng LIU, Yasheng DAI, Zhenxu YOU, Hao XU   +5 more
doaj   +2 more sources

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

IEEE 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, Qing Gu, Tao Zheng, Ping Dong, Alvin Valera, Yajuan Qin   +5 more
doaj   +1 more source

Optimization in Edge Computing: A Survey

Al-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, Shaymaa W. Al-Shammari   +1 more
doaj   +1 more source

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

Journal 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

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

Journal 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

Mobile Edge Computing Task Offloading Strategy Based on Parking Cooperation in the Internet of Vehicles

Sensors, 2022
Due to the limited computing capacity of onboard devices, they can no longer meet a large number of computing requirements. Therefore, mobile edge computing (MEC) provides more computing and storage capabilities for vehicles.
Xianhao Shen, Zhaozhan Chang, Shaohua Niu   +2 more
doaj   +1 more source

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

Jisuanji 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

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

Advanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei, Lekai Song, Songwei Liu, Yingyi Wen, Yaoqiang Zhou, Yang Liu, Pengyu Liu, Wenyu Cui, Xin Lu, Teng Ma, Zegao Wang, Guohua Hu   +11 more
wiley   +1 more source

Hierarchical task offloading in heterogeneous cellular network:modeling and optimization

Tongxin xuebao, 2020
To improve the efficiency of computation offloading,a hierarchical task offloading framework based on device-to-device (D2D) communication,mobile edge computing and cloud computing was proposed,in which cooperative D2D relay technology was introduced to ...
Lindong ZHAO, Wenqin ZHUANG, Jianxin CHEN, Liang ZHOU   +3 more
doaj   +2 more sources