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Translating Service Level Objectives to lower level policies for multi-tier services

机译:将服务级别目标转换为多层服务的较低级别策略

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摘要

Service providers and their customers agree on certain quality of service guarantees through Service Level Agreements (SLA). An SLA contains one or more Service Level Objectives (SLO)s that describe the agreed-upon quality requirements at the service level. Translating these SLOs into lower-level policies that can then be used for design and monitoring purposes is a difficult problem. Usually domain experts are involved in this translation that often necessitates application of domain knowledge to this problem. In this article, we propose an approach that combines performance modeling with regression analysis to solve this problem. We demonstrate that our approach is practical and that it can be applied to different n-tier services. Our experiments show that for a typical 3-tier e-commerce application in a virtualized environment, the SLA can be met while improving CPU utilization by up to 3 times.
机译:服务提供商及其客户通过服务水平协议(SLA)达成一定质量的服务保证。一个SLA包含一个或多个服务水平目标(SLO),这些目标描述了服务水平上商定的质量要求。将这些SLO转换为可用于设计和监视目的的较低级策略是一个难题。通常,领域专家会参与此翻译,这通常需要将领域知识应用于此问题。在本文中,我们提出了一种将性能建模与回归分析相结合的方法来解决此问题。我们证明了我们的方法是可行的,并且可以应用于不同的n层服务。我们的实验表明,对于虚拟环境中的典型3层电子商务应用程序,可以满足SLA,同时将CPU利用率提高多达3倍。

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