Search Result

1

Joint optimization algorithm for dynamic server deployment and task offloading in edge computing

边缘计算中动态服务器部署与任务卸载联合优化算法

Bai Wenchao

Lu Xianling

edge computing

task offloading

edge server deployment

hierarchical reinforcement learning

Accepted Paper No. 6, 2025 : doi:10.19734/j.issn.1001-3695.2024.11.0462

2

Edge server placement method based on user density and average access time

基于用户密度和平均访问时间的边缘服务器放置方法

Hu Chunjie

Liu Jing

Zheng Wenxiang

mobile edge computing

edge server placement

multi-objective optimization

sea horse optimizer

genetic algorithm

No. 5, 2024 : 1448-1455 doi:10.19734/j.issn.1001-3695.2023.09.0413

3

Computing first edge server deployment algorithm for computing first network

算力网络下的算力边缘服务器部署算法

Zhang Gang

Hu Peng

computing first edge server(CFES)

computing first network(CFN)

deployment problem

genetic algorithm

multi-objective optimization with constraints

No. 5, 2024 : 1527-1531 doi:10.19734/j.issn.1001-3695.2023.08.0391

4

Privacy-preserving KNN query method for streaming data in power Internet of Things

面向电力物联网流数据的一种具有隐私保护的KNN查询方法

Yi Yeqing

Yi Yingjie

Liu Yunru

Mao Yimin

power Internet of Things(PIoT)

privacy protection

secure KNN query

edge server

No. 4, 2024 : 1198-1207 doi:10.19734/j.issn.1001-3695.2023.07.0342

5

Power inspection and unloading strategy of UAV based on improved hybrid particle swarm algorithm and matching theory

基于改进混合粒子群算法和匹配理论的无人机电力巡检卸载策略

Huang Dongmei

Xu Qi

Sun Jinzhong

Hu Anduo

hybrid particle swarm algorithm

matching theory

UAV inspection

edge server

No. 7, 2023 : 2111-2116 doi:10.19734/j.issn.1001-3695.2022.11.0791

Search 边缘服务器

Search边缘服务器returned 5 results

Joint optimization algorithm for dynamic server deployment and task offloading in edge computing

Edge server placement method based on user density and average access time

Computing first edge server deployment algorithm for computing first network

Privacy-preserving KNN query method for streaming data in power Internet of Things

Power inspection and unloading strategy of UAV based on improved hybrid particle swarm algorithm and matching theory