Gazori, P., Rahbari, D., Nickray, M. - TalTech Research Portal

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Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach

author

Gazori, Pegah

Rahbari, Dadmehr

Nickray, Mohsen

statement of authorship

Pegah Gazori, Dadmehr Rahbari, Mohsen Nickray

source

Future generation computer systems

journal volume number month

vol. 110

year of publication

2020

pages

p. 1098-1115

url

https://doi.org/10.1016/j.future.2019.09.060

ISSN

0167-739X

notes

Includes bibliogr

language

inglise

Märksõnad ja võtmesõnad

subject term

pilvandmetöötlus

sensorvõrgud

tehisintellekt

tehisõpe

keyword

fog computing

task scheduling

deep reinforcement learning

double Q-learning

service delay

computation cost

TalTechi üksused

TTÜ department

Thomas Johann Seebecki elektroonikainstituut

Reserch Group

Centre for trustworthy and efficient computing hardware (TECH)

Gazori, P., Rahbari, D., Nickray, M. Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach // Future generation computer systems (2020) vol. 110, p. 1098-1115. https://doi.org/10.1016/j.future.2019.09.060