Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review
The expanding scale of cloud data centers and the diversification of user services have led to an increase in energy consumption and greenhouse gas emissions, resulting in long-term detrimental effects on the environment. To address this issue, scheduling techniques that reduce energy usage have bec...
الحاوية / القاعدة: | Future Generation Computer Systems |
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المؤلف الرئيسي: | 2-s2.0-85174552639 |
التنسيق: | Review |
اللغة: | English |
منشور في: |
Elsevier B.V.
2024
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174552639&doi=10.1016%2fj.future.2023.10.002&partnerID=40&md5=aa7bde25c26ff1790a01e5aa5322ef8f |
مواد مشابهة
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Multi-level parallel scheduling of dependent-tasks using graph-partitioning and hybrid approaches over edge-cloud
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RETRACTED ARTICLE: Multi-level parallel scheduling of dependent-tasks using graph-partitioning and hybrid approaches over edge-cloud (Soft Computing, (2022), 26, 11, (5347-5362), 10.1007/s00500-022-07048-1)
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