A resource scheduling method for cloud data centers based on thermal management Article Swipe
Li Mao
,
Rui Chen
,
Huiwen Cheng
,
Weiwei Lin
,
Bo Liu
,
James Z. Wang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1186/s13677-023-00462-2
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1186/s13677-023-00462-2
With the rapid growth of cloud computing services, the high energy consumption of cloud data centers has become a critical concern of the cloud computing society. While virtual machine (VM) consolidation is often used to reduce energy consumption, excessive VM consolidation may lead to local hot spots and increase the risk of equipment failure. One possible solution to this problem is to utilize thermal-aware scheduling, but existing approaches have trouble realizing the balance between SLA and energy consumption. This paper proposes a novel method to manage cloud data center resources based on thermal management (TM-VMC), which optimizes total energy consumption and proactively prevents hot spots from a global perspective. Its VM consolidation process includes four phases where the VMs scheduler uses an improved ant colony algorithm (UACO) to find appropriate target hosts for VMs based on server temperature and utilization status obtained in real-time. Experimental results show that the TM-VMC approach can proactively avoid data center hot spots and significantly reduce energy consumption while maintaining low Service Level Agreement (SLA) violation rates compared to existing mainstream VM consolidation algorithms with workloads from real-world data centers.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s13677-023-00462-2
- https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00462-2
- OA Status
- gold
- Cited By
- 14
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380148006
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4380148006Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s13677-023-00462-2Digital Object Identifier
- Title
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A resource scheduling method for cloud data centers based on thermal managementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-10Full publication date if available
- Authors
-
Li Mao, Rui Chen, Huiwen Cheng, Weiwei Lin, Bo Liu, James Z. WangList of authors in order
- Landing page
-
https://doi.org/10.1186/s13677-023-00462-2Publisher landing page
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https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00462-2Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00462-2Direct OA link when available
- Concepts
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Cloud computing, Computer science, Virtual machine, Service-level agreement, Data center, Energy consumption, Scheduling (production processes), Distributed computing, Operating system, Operations management, Engineering, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 9Per-year citation counts (last 5 years)
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38Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.pdf_url | https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00462-2 |
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| primary_location.raw_source_name | Journal of Cloud Computing |
| primary_location.landing_page_url | https://doi.org/10.1186/s13677-023-00462-2 |
| publication_date | 2023-06-10 |
| publication_year | 2023 |
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