Energy-Efficient Resource Provisioning Strategy for Reduced Power Consumption in Edge Computing
Edge computing is an emerging paradigm that settles some servers on the near-user side and allows some real-time requests from users to be directly returned to the user after being processed by these servers settled on the near-user side. In this paper, we focus on saving the energy of the system to...
Main Authors: | Juan Fang, Yong Chen, Shuaibing Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/17/6057 |
Similar Items
-
An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System
by: Juan Fang, et al.
Published: (2020-10-01) -
Collaborative Task Scheduling for IoT-Assisted Edge Computing
by: Youngjin Kim, et al.
Published: (2020-01-01) -
An Efficient Task Scheduling Strategy Utilizing Mobile Edge Computing in Autonomous Driving Environment
by: Qi Liu, et al.
Published: (2019-10-01) -
Resource Constrained Profit Optimization Method for Task Scheduling in Edge Cloud
by: Liqiong Chen, et al.
Published: (2020-01-01) -
Dynamic Voltage and Frequency Scaling Enhanced Task Scheduling Technologies Toward Greener Cloud Computing
by: Aldhahri, Eiman Ali
Published: (2014)