节能云系统:虚拟机整合与强度优化
Xinming Han1, Jianxiao Wang2, Jiaxi Wu3
1Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing 100871, China.
iScience
|March 19, 2025
概括
这项研究优化了虚拟机 (VM) 在云计算中的放置,以更好地利用资源和提高能源效率. 一个新的强大的模型和启发式算法显著提高了性能,降低了能源消耗.
科学领域:
- 云计算 云计算 云计算 云计算
- 运营研究 运营研究
- 能源效率 能源效率 能源效率
背景情况:
- 云计算环境在优化虚拟机 (VM) 放置方面面临着挑战.
- 不高效的VM放置导致资源未得到充分利用,能源消耗增加.
- 虚拟机工作负载需求的不确定性使最佳资源配置变得复杂.
研究的目的:
- 为虚拟机放置开发一个强大的优化模型.
- 提高云数据中心的资源利用率和能源效率.
- 解决虚拟机使用模式中的不确定性.
主要方法:
- 混合整数线性编程 (MILP) 模型的制定.
- 强度理论的整合,以处理工作负载的不确定性.
- 开发用于大规模VM分配的启发式算法.
主要成果:
- 拟议的MILP模型有效地优化了不确定性下的VM放置.
- 在资源利用指标中观察到显著的改善.
- 在实验数据中证明了能源效率的大幅提高.
结论:
- 强大的优化方法为VM安置提供了有效的解决方案.
- 启发式算法适用于实用,大规模的云环境.
- 该研究证实了强大的优化对云资源管理的好处.
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