APPLIED ENERGY - Journal - Bridge of Knowledge

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APPLIED ENERGY

ISSN:

0306-2619

eISSN:

1872-9118

Disciplines
(Field of Science):

  • culture and religion studies (Humanities)
  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
  • civil engineering, geodesy and transport (Engineering and Technology)
  • materials engineering (Engineering and Technology)
  • mechanical engineering (Engineering and Technology)
  • environmental engineering, mining and energy (Engineering and Technology)
  • forestry (Agricultural sciences)
  • economics and finance (Social studies)
  • international relations (Social studies)
  • chemical sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 200 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 200 Ministry scored journals list 2024
2023 200 Ministry Scored Journals List
2022 200 Ministry Scored Journals List 2019-2022
2021 200 Ministry Scored Journals List 2019-2022
2020 200 Ministry Scored Journals List 2019-2022
2019 200 Ministry Scored Journals List 2019-2022
2018 45 A
2017 45 A
2016 45 A
2015 45 A
2014 45 A
2013 40 A
2012 40 A
2011 40 A
2010 27 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 21.2
Points CiteScore - previous years
Year Points
2023 21.2
2022 21.1
2021 20.4
2020 17.6
2019 16.4
2018 14.3
2017 12.9
2016 11.4
2015 10
2014 9.3
2013 8.8
2012 8.1
2011 6.1

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total: 14

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Catalog Journals

Year 2024
  • Game theory-based virtual machine migration for energy sustainability in cloud data centers
    Publication
    • F. J. Maldonado-Carrascosa
    • S. García-Galán
    • M. Valverde-Ibáñez
    • T. Marciniak
    • M. Szczerska
    • N. Ruiz-Reyes

    - APPLIED ENERGY - Year 2024

    As the demand for cloud computing services increases, optimizing resource allocation and energy consumption has become a key factor in achieving sustainability in cloud environments. This paper presents a novel approach to address these challenges through an optimized virtual machine (VM) migration strategy that employs a game-theoretic approach based on particle swarm optimization (PSO) (PSO-GTA). The proposed approach leverages...

    Full text available to download

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