Smart City Gnosys

Smart city article details

Title Offloading Decision Optimization In The Cloud Edge Collaborative Computing Scenario Of Smart City Early Warning System; [智慧城市预警系统云边协同计算场景下的卸载决策优化]
ID_Doc 39685
Authors Zhu S.; Hu J.; Yang C.; Chai Z.
Year 2023
Published Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology, 49, 9
DOI http://dx.doi.org/10.11936/bjutxb2022010001
Abstract To address the problems of insufficient computing and storage capacity of sensor devices (SD) and poor real⁃time processing of early warning data in smart city early warning system, a task offloading model of cloud⁃edge collaborative urban early⁃warning system was proposed based on edge computing technology. The cloud⁃edge collaborative cache strategy was introduced, and the delay model, energy consumption model and load imbalance model were designed in turn. The task offloading problem was transformed into a multi⁃objective optimization problem, and an offloading decision scheme based on MOEA / D was given, which was verified by comparative experiments. Results show that this offloading scheme can achieve load balancing with less total delay and total energy consumption, and is superior to other benchmark schemes. © 2023 Beijing University of Technology. All rights reserved.
Author Keywords cloud⁃edge collaborative; early warning system; edge cache; multi⁃objective optimization; smart city; task offloading


Similar Articles


Id Similarity Authors Title Published
14704 View0.878Huang H.; Peng K.; Xu X.Collaborative Computation Offloading For Smart Cities In Mobile Edge ComputingIEEE International Conference on Cloud Computing, CLOUD, 2020-October (2020)
23410 View0.869Zhao B.; Peng K.; Zhang H.; Xu X.Energy- And Time-Efficient Tasks Offloading And Dynamic Resource Allocation In Smart CityProceedings - IEEE Congress on Cybermatics: 2020 IEEE International Conferences on Internet of Things, iThings 2020, IEEE Green Computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social Computing, CPSCom 2020 and IEEE Smart Data, SmartData 2020 (2020)
53542 View0.864Padidem P.; Lee A.Studying Offloading Optimization For Energy-Latency Tradeoff With Collaborative Edge ComputingProceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022 (2022)
23414 View0.861Su Q.; Zhang Q.; Zhang X.Energy-Aware Cloud-Edge Collaborative Task Offloading With Adjustable Base Station Radii In Smart CitiesMathematics, 10, 21 (2022)
21825 View0.861Peng K.; Zhang H.; Zhao B.; Liu P.Edge-Cloud Collaborative Computation Offloading For Federated Learning In Smart CityProceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022 (2022)
1004 View0.86Wu Q.; Zhou J.; Zhou J.; Weng J.; Liu Q.; Xing Y.; Xu S.A Computation Offloading Algorithm For Cloud Edge Collaborative Network Based On Sleep Mechanism2021 International Wireless Communications and Mobile Computing, IWCMC 2021 (2021)
40664 View0.857Prasad C.R.; Sandeep Kumar V.; Rao P.R.; Kollem S.; Yalabaka S.; Samala S.Optimization Of Task Offloading For Smart Cities Using Iot With Fog Computing- A Survey2022 International Conference on Signal and Information Processing, IConSIP 2022 (2022)
43055 View0.853Li M.; Xiong N.; Zhang Y.; Hu Y.Priority-Mece: A Mobile Edge Cloud Ecosystem Based On Priority Tasks OffloadingMobile Networks and Applications, 27, 4 (2022)
23409 View0.85Zhao, BH; Peng, K; Zhu, FY; Xue, SJEnergy- And Reliability-Aware Computation Offloading With Security Constraints In Mec-Enabled Smart CitiesCLOUD COMPUTING, CLOUDCOMP 2021, 430 (2022)