Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems-Reference-Cited by-同舟云学术

Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems

Published:2020-07-27 Issue:23 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Rjoub Gaith¹^ORCID,Bentahar Jamal¹^ORCID,Abdel Wahab Omar²,Saleh Bataineh Ahmed¹

Affiliation:

1. Concordia Institute for Information Systems Engineering Concordia University Montreal Quebec Canada

2. Department of Computer Science and Engineering Université du Québec en Outaouais Gatineau Quebec Canada

Funder

Defence Research and Development Canada

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5919

Reference34 articles.

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2. BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments

3. QoS-Aware Autonomic Resource Management in Cloud Computing

4. Load-balancing algorithms in cloud computing: A survey

5. Enhanced max‐min task scheduling algorithm in cloud computing;Bhoi U;Int J Appl Innovat Eng Manag,2013

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