stdClass Object
(
    [id] => 17889
    [paper_index] => 202510-02-024525
    [title] => SUSTAINABLE CLOUD COMPUTING 
    [description] => 
    [author] => T.Amalraj Victorie, M.Vasuki, M.Dhivyadharshini
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => October
    [volume] => 10
    [issue] => 10
    [file] => fm/jpanel/upload/2025/October/202510-02-024525.pdf
    [abstract] =>  Different algorithms, such as Ant colony optimization (ACO), Dynamic voltage frequency scaling (DVFS), artificial neural networks (ANN), and FinOps, are examined to promote energy efficiency, cut CO₂ exhaust, and utilize resources. Finally, the survey disseminates pros, cons, and future research considerations on further implementing sustainable cloud computing models that promote environmental stewardship and economic growth. 
    [keywords] => Green Cloud Computing, Sustainable Computing, Ant Colony Optimization (ACO), Energy Efficiency, Cloud Scheduling, Virtualization, FinOps, Artificial Neural Networks (ANN), DVFS, Renewable Energy Integration, Resource Optimization, Literature Survey 
    [doj] => 2025-10-25
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 37
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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