Results 31 to 40 of about 4,378 (256)

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

Toward Computation Offloading in Edge Computing: A Survey [PDF]

IEEE Access, 2019
The explosive growth of massive data generation from Internet of Things in industrial, agricultural and scientific communities has led to a rapid increase for data analytics in cloud data centers. The ubiquitous and pervasive demand for near-data processing urges the edge computing paradigm in recent years.
Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, Jian Wan 0001   +4 more
openaire   +2 more sources

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

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +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