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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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一个可扩展的调度和资源管理框架,用于云原生B2B应用程序.

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  • 1Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, India.

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本研究介绍了一种优化工作调度和资源扩展 (OJSRS) 算法,以减少云计算队列时间并改善资源管理. OJSRS提高了工作执行效率,并支持业务应用的弹性资源配置.

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实现自动化资源扩展.企业对企业的应用程序云计算是一种云计算.云原生平台 云原生平台体面的工作和经济增长.工作安排工作安排.负载平衡是指负载平衡的方法.

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科学领域:

  • 云计算 云计算 云计算 云计算
  • 算法设计 算法设计
  • 资源管理 资源管理

背景情况:

  • 云环境中的动态工作负载需要按需提供资源.
  • 工作到达率的波动会导致队列延迟,影响系统性能.
  • 现有的算法往往忽略了队列延迟和关键应用程序的灵活资源需求.

研究的目的:

  • 提出一种新的优化工作安排和资源扩展 (OJSRS) 算法.
  • 在云环境中提高工作执行效率.
  • 支持动态工作负载的弹性资源管理.

主要方法:

  • 开发了OJSRS算法,集成了基于树的工作调度 (TJS) 和自动化资源缩放和调度 (ARSS).
  • 为了最大限度地减少队列延迟,TJS将任务分层地映射到合适的虚拟机 (VM).
  • 根据工作负载和适应性供应政策,ARSS可以动态调整资源分配.

主要成果:

  • OJSRS将资源利用率提高了5-10%.
  • 通过主动扩展资源,加快工作完成时间.
  • 证明了云原生应用程序的显著性能改进.

结论:

  • OJSRS算法有效地解决了队列延迟和资源配置挑战.
  • OJSRS为云环境提供了可扩展和高效的解决方案.
  • 提高了业务关键云应用程序的性能,这些应用程序需要效率和可扩展性.