Optimal Workload Allocation for Edge Computing Network Using Application Prediction
By deploying edge servers on the network edge, mobile edge computing network strengthens the real-time processing ability near the end devices and releases the huge load pressure of the core network. Considering the limited computing or storage resources on the edge server side, the workload allocat...
Main Authors: | Zhenquan Qin, Zanping Cheng, Chuan Lin, Zhaoyi Lu, Lei Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
|
Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2021/5520455 |
Similar Items
-
User-Edge Collaborative Resource Allocation and Offloading Strategy in Edge Computing
by: Zhenquan Qin, et al.
Published: (2020-01-01) -
OPTIMIZING WORKLOAD ALLOCATION IN A NETWORK OF HETEROGENEOUS COMPUTERS
by: Rahela Rahim, et al.
Published: (2011-03-01) -
A Dynamic Deep Neural Network Design for Efficient Workload Allocation in Edge Computing
by: Lo, Chi, et al.
Published: (2017) -
Energy-Efficient and Delay-Guaranteed Workload Allocation in IoT-Edge-Cloud Computing Systems
by: Mian Guo, et al.
Published: (2019-01-01) -
Multipath Transmission Workload Balancing Optimization Scheme Based on Mobile Edge Computing in Vehicular Heterogeneous Network
by: Zhao Haitao, et al.
Published: (2019-01-01)