Service Deployment for Latency Sensitive Applications in Mobile Edge Computing

2018 ◽  
Author(s):  
Jingya Zhou ◽  
Jianxi Fan ◽  
Jin Wang ◽  
Juncheng Jia
Keyword(s):  
Edge Computing ◽  
Mobile Edge Computing ◽  
Service Deployment

scholarly journals Exploitation of Mobile Edge Computing in 5G Distributed Mission-Critical Push-to-Talk Service Deployment

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 37665-37675 ◽  
Author(s):  
Ruben Solozabal ◽  
Aitor Sanchoyerto ◽  
Eneko Atxutegi ◽  
Bego Blanco ◽  
Jose Oscar Fajardo ◽  
...  
Keyword(s):  
Edge Computing ◽  
Mobile Edge Computing ◽  
Service Deployment ◽  
Mission Critical

Toward Reinforcement-Learning-Based Service Deployment of 5G Mobile Edge Computing with Request-Aware Scheduling

2020 ◽  
Vol 27 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Yanlong Zhai ◽  
Tianhong Bao ◽  
Liehuang Zhu ◽  
Meng Shen ◽  
Xiaojiang Du ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Service Deployment

Efficient service deployment in mobile edge computing environment

2020 ◽  
Vol 16 (2) ◽  
pp. 126
Author(s):  
Jiawei Lu ◽  
Jinglin Li ◽  
Wei Liu ◽  
Qibo Sun ◽  
Ao Zhou
Keyword(s):  
Edge Computing ◽  
Mobile Edge Computing ◽  
Computing Environment ◽  
Service Deployment

scholarly journals Orchestration Architecture for Automatic Deployment of 5G Services from Bare Metal in Mobile Edge Computing Infrastructure

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Enrique Chirivella-Perez ◽  
Jose M. Alcaraz Calero ◽  
Qi Wang ◽  
Juan Gutiérrez-Aguado
Keyword(s):  
Mobile Networks ◽  
Edge Computing ◽  
Superior Performance ◽  
Bare Metal ◽  
Mobile Edge Computing ◽  
Computing Paradigm ◽  
Fifth Generation ◽  
5G Network ◽  
Service Deployment ◽  
Deployment Time

The progress in realizing the Fifth Generation (5G) mobile networks has been accelerated recently towards deploying 5G prototypes with increasing scale. One of the Key Performance Indicators (KPIs) in 5G deployments is the service deployment time, which should be substantially reduced from the current 90 hours to the target 90 minutes on average as defined by the 5G Public-Private Partnership (5G-PPP). To achieve this challenging KPI, highly automated and coordinated operations are required for the 5G network management. This paper addresses this challenge by designing and prototyping a novel 5G service deployment orchestration architecture that is capable of automating and coordinating a series of complicated operations across physical infrastructure, virtual infrastructure, and service layers over a distributed mobile edge computing paradigm, in an integrated manner. Empirical results demonstrate the superior performance achieved, which meets the 5G-PPP KPI even in the most challenging scenario where 5G services are installed from bare metal.

Efficient service deployment in mobile edge computing environment

2020 ◽  
Vol 16 (2) ◽  
pp. 126
Author(s):  
Qibo Sun ◽  
Ao Zhou ◽  
Jiawei Lu ◽  
Jinglin Li ◽  
Wei Liu
Keyword(s):  
Edge Computing ◽  
Mobile Edge Computing ◽  
Computing Environment ◽  
Service Deployment

Load Balancing for Energy-Harvesting Mobile Edge Computing

2021 ◽  
Vol E104.A (1) ◽  
pp. 336-342
Author(s):  
Ping ZHAO ◽  
Jiawei TAO ◽  
Abdul RAUF ◽  
Fengde JIA ◽  
Longting XU
Keyword(s):  
Energy Harvesting ◽  
Load Balancing ◽  
Edge Computing ◽  
Mobile Edge Computing
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