Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing
By means of the complex systems, multiple renewable energy sources are integrated to provide energy supply for users. Considering that there are massive services needed to process in complex systems, the mobile services are offloaded from mobile devices to edge servers for efficient implementation....
Saved in:
Main Authors: | Xiaolong Xu, Yuan Xue, Mengmeng Cui, Yuan Yuan, Lianyong Qi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/6180135 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Joint Resource Allocation Optimization of Wireless Sensor Network Based on Edge Computing
by: Jie Liu, et al.
Published: (2021-01-01) -
Node and Edge Joint Embedding for Heterogeneous Information Network
by: Lei Chen, et al.
Published: (2024-09-01) -
Evaluation of the Fluctuation Mechanism of Behavioral Financial Market Based on Edge Computing
by: Xiaoliang Yuan
Published: (2022-01-01) -
Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing
by: He Jiang, et al.
Published: (2024-12-01) -
Design and optimization of distributed energy management system based on edge computing and machine learning
by: Nan Feng, et al.
Published: (2025-02-01)