在云数据中心放置节能虚拟机,使用遗传算法和自适应值
Abdullah Alourani1, Aqsa Khalid2, Muhammad Tahir2
1Department of Management Information Systems and Production Management, College of Business and Economics, Qassim University, Buraidah, Saudi Arabia.
PloS one
|January 2, 2024
概括
本研究介绍了一种用于云计算中的虚拟机放置的新算法. 它通过识别未充分利用的主机,有效地减少了能源消耗和服务水平协议违规行为.
科学领域:
- 计算机科学 计算机科学
- 云计算 云计算 云计算 云计算
- 数据中心管理数据中心管理
背景情况:
- 云计算提供按需的IT服务,但数据中心的能源消耗是一个重大挑战.
- 虚拟化和虚拟机放置是提高资源利用率和降低功耗的关键技术.
- 现有的虚拟机放置算法通常涉及不同性能参数之间的权衡.
研究的目的:
- 开发一个虚拟机放置算法,最大限度地减少云数据中心的能源消耗.
- 减少违反服务水平协议 (SLA) 的情况,而不会对其他关键参数产生负面影响.
- 提高云计算资源的整体利用率.
主要方法:
- 为云计算环境设计了一个用于虚拟机放置的新算法.
- 该算法使用自适应值来检测过度使用和不足使用的物理主机.
- 进行模拟以验证算法的性能,并将其与现有方法进行比较.
主要成果:
- 拟议的算法证明了数据中心内的能源消耗减少.
- 该算法成功减少了服务级别协议 (SLA) 违规行为.
- 对比分析表明了自适应值方法的有效性.
结论:
- 开发的算法为降低云数据中心能源消耗提供了有效的解决方案.
- 这种方法平衡了资源利用和SLA遵守,解决了云基础设施的关键需求.
- 这些发现支持采用适应性策略,以优化虚拟机的放置.
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