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Automating network resource allocation for coflows with deadlines / by Asif Hasnain ; [thesis supervisor: Prof. Dr. Holger Karl, second supervisor: Prof. Dr. Friedhelm Meyer auf der Heide]. Paderborn, 2021
Content
Acknowledgements
Previously Published Papers
List of Figures
List of Tables
Introduction
Coflows as an Abstraction in Networks
Identified Problems and Contribution
Background and Related Work
Performance Objectives for Coflow Schedulers
Machine Learning
Markov Decision Process
Reinforcement Learning
Reinforcement Learning for Networking
Practical Challenges
Coflow Scheduling for time-sensitive applications
Problem Overview
Model definitions
Network Model
Motivating Example
Related Work
Optimization problem formulation
Overview
Input
Decision variables
Constraints
Objective functions
Heuristic
Work-Conserving Resource Allocation
Evaluation
Methodology
Simulation Results
Concluding Remarks
Learning Flow Scheduling
Introduction
Related Work
Design
Model definition
RL model
Training algorithm
Evaluation
Methodology
Simulation results
Concluding Remarks
Learning Coflow Admissions
Motivation
Related Work
Model
Application Model
Network Model
Design & Implementation
RL model
Training Algorithm
Experimental Evaluation
Methodology
Simulation Results
Concluding Remarks
Conclusion
Future Work
References
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