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Task Offloading in Edge-cloud Computing using a Q-Learning Algorithm
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
2024 (English)In: International Conference on Cloud Computing and Services Science, CLOSER - Proceedings, Science and Technology Publications, Lda , 2024, p. 159-166Conference paper, Published paper (Other academic)
Abstract [en]

Task offloading is a prominent problem in edge−cloud computing, as it aims to utilize the limited capacityof fog servers and cloud resources to satisfy the QoS requirements of tasks, such as meeting their deadlines.This paper formulates the task offloading problem as a nonlinear mathematical programming model to maximizethe number of independent IoT tasks that meet their deadlines and to minimize the deadline violationtime of tasks that cannot meet their deadlines. This paper proposes two Q-learning algorithms to solve theformulated problem. The performance of the proposed algorithms is experimentally evaluated with respect toseveral algorithms. The evaluation results demonstrate that the proposed Q-learning algorithms perform wellin meeting task deadlines and reducing the total deadline violation time.

Place, publisher, year, edition, pages
Science and Technology Publications, Lda , 2024. p. 159-166
Keywords [en]
Task Offloading, Edge-Cloud Computing Continuum, Reinforcement Learning, Q-learning algorithm.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-66168DOI: 10.5220/0012590800003711Scopus ID: 2-s2.0-85194151738ISBN: 9789897587016 (print)OAI: oai:DiVA.org:mdh-66168DiVA, id: diva2:1842237
Conference
14th International Conference on Cloud Computing and Services Science, CLOSER 2024, Angers, May 2-4, 2024
Available from: 2024-03-04 Created: 2024-03-04 Last updated: 2024-06-05Bibliographically approved

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Abdi, SomayehAshjaei, Seyed Mohammad HosseinMubeen, Saad

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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