| DC Field | Value | Language |
|---|
| dc.contributor.author | Zhijie Han | - |
| dc.contributor.author | Guang Yang | - |
| dc.contributor.author | Fang Zuo | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-03-01T08:11:04Z | - |
| dc.date.available | 2024-03-01T08:11:04Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Zhijie Han. A Review of Virtual Resource Management Research in Cloud Data Centers / Zhijie Han, Guang Yang, Fang Zuo // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 80–85. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54462 | - |
| dc.description.abstract | Cloud computing data centers represent the
direc-tion of data center architecture and development. Virtual
ma-chine (VM) management is one of the primary research
directions for resource management in cloud data centers.
Optimization of VM scheduling often has a significant impact
on resource man-agement. This article aims to comprehensively
investigate and analyze the current development of VM
scheduling. Starting with VM scheduling-related technologies,
the article further analyzes VM deployment, optimization
methods for VM scheduling, and goals for VM scheduling
optimization from three perspectives. Finally, the article
provides an analysis and summary of the research trends and
directions in VM scheduling. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | cloud data center | en_US |
| dc.subject | virtualization | en_US |
| dc.subject | scheduling optimization | en_US |
| dc.title | A Review of Virtual Resource Management Research in Cloud Data Centers | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
