Optimization-Based Resource Management Algorithms with Considerations of Client Satisfaction and High Availability in Elastic 5G Network Slices

Optimization-Based Resource Management Algorithms with Considerations of Client Satisfaction and High Availability in Elastic 5G Network Slices

A combined edge and core cloud computing environment is a novel solution in 5G network slices. The clients’ high availability requirement is a challenge because it limits the possible admission control in front of the edge cloud. This work proposes an orchestrator with a mathematical programming mod...

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Bibliographic Details
Main Authors: Chiu-Han Hsiao, Frank Yeong-Sung Lin, Evana Szu-Han Fang, Yu-Fang Chen, Yean-Fu Wen, Yennun Huang, Yang-Che Su, Ya-Syuan Wu, Hsin-Yi Kuo
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
network slicing
resource allocation
load balancing
admission control
high availability
Lagrangian relaxation (LR)
Online Access:https://www.mdpi.com/1424-8220/21/5/1882

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