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Atlas: Automate Online Service Configuration in Network Slicing
Qiang Liu
, Nakjung Choi
,
Tao Han
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
12
Scopus citations
Overview
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Dive into the research topics of 'Atlas: Automate Online Service Configuration in Network Slicing'. Together they form a unique fingerprint.
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Keyphrases
Network Slicing
100%
Online Services
100%
Service Configuration
100%
Real-time Networks
66%
Core Network
33%
Resource Utilization
33%
Learning-based
33%
Edge Server
33%
Quality of Experience
33%
Online Learning
33%
Search Methods
33%
Prototype-based
33%
Cross-domain
33%
Gaussian Process Regression
33%
Customization
33%
Online Algorithms
33%
Offline Algorithm
33%
Online Networks
33%
Service Level Agreement
33%
Regret
33%
Parameter Search
33%
Slice-based
33%
Bayesian Neural Network
33%
Heterogeneous Services
33%
Heterogeneous Applications
33%
Learning Stages
33%
Sampling Efficiency
33%
Bayesian Optimization
33%
Sim-to-real
33%
OpenAirInterface
33%
Simulation to Real
33%
End-to-end Slices
33%
OpenDaylight
33%
Exploration Process
33%
Docker
33%
Safe Exploration
33%
Thompson Sampling
33%
Resource Slicing
33%
Network Prototype
33%
Computer Science
Network Slicing
100%
Online Service
100%
Service Configuration
100%
Neural Network
33%
Experimental Result
33%
Edge Server
33%
Quality-of-Experience
33%
Online Learning
33%
Customisation
33%
on-line algorithm
33%
Online Network
33%
Service-Level Agreement
33%
Software-Defined Networking
33%