학술논문

QoS-aware Task Scheduling based on Reinforcement Learning for the Cloud-Fog Continuum
Document Type
Conference
Source
GLOBECOM 2022 - 2022 IEEE Global Communications Conference Global Communications Conference(48099), GLOBECOM 2022 - 2022 IEEE. :2328-2333 Dec, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Scheduling algorithms
Reinforcement learning
Quality of service
Integer linear programming
Approximation algorithms
Scheduling
Global communication
Fog computing
Cloud computing
Reinforcement Learning
Language
Abstract
In this paper, we propose three multi-objective task scheduling algorithms for the cloud-fog continuum, that minimize both the makes pan and processing cost of workflows, considering the QoS requirements of the applications. Numerical results show that the scheduler based on Reinforcement Learning outperforms those based on classical optimization.