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在云计算中对虚拟机迁移的算法方法,使用更新的SESA算法.

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本研究介绍了云计算的节能虚拟机 (VM) 迁移算法. 它使用弹性调度和共弦相似度来增强调度,以减少功耗和SLA违规.

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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
  • 能源效率 能源效率 能源效率

背景情况:

  • 云计算对于IT服务至关重要,主要公司正在部署全球数据中心.
  • 早期的云开发优先考虑了性能而不是能源消耗,忽视了可持续性.
  • 算法和生物启发技术的进步旨在提高云基础设施的能源效率和可持续性.

研究的目的:

  • 调查云计算中的虚拟机迁移方法.
  • 识别和解决现有VM迁移策略中的问题.
  • 开发一个更节能的VM分配和迁移算法.

主要方法:

  • 使用弹性调度,灵感来自智能弹性调度算法 (SESA).
  • 整合共因相似性和带宽利用以提高服务质量 (QoS).
  • 评估拟议的算法的性能与最先进的技术对比.

主要成果:

  • 拟议的算法证明了云数据中心的能源效率提高.
  • 观察到减少了服务水平协议 (SLA-V) 的违规行为.
  • 该算法有效地解决了现有的VM迁移方法中发现的问题.

结论:

  • 开发的弹性调度方法提供了一个更可持续的云计算解决方案.
  • 同位数相似性和带宽利用率是提高VM迁移的有效指标.
  • 该研究为云环境中节能VM管理提供了一种新的算法.