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Performance modeling and system management for Internet services.

机译：Internet服务的性能建模和系统管理。

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Internet services execute complex logic on heterogeneous and distributed server platforms for concurrent requests--- in short, they are complicated. Often subtle changes in request patterns or system configurations have unexpected and undesirable performance consequences. This dissertation demonstrates practical system management for Internet services that improves performance dependability, increases raw performance, and raises the performance-to-cost ratio in datacenters. In our approach, system management is guided by easy-to-understand and easy-to-apply models of a service's performance. These performance models are easy to understand, because they use real system properties that are common across many services to characterize application-level performance ( e.g., response time and throughput). They are easy to apply, because they are calibrated with system measurements that can be collected in practice. And they are useful in system management, because they predict what performance would be like if contemplated actions were taken. In particular, this dissertation presents case studies of our model-driven system management approach for actions frequently contemplated in practice, such as what if the component placement strategy were changed, what if the load balancing policy were changed, and what if services were consolidated. Experimental results with several Internet services under realistic operating conditions show the potential for model-driven system management.
机译：Internet服务在异构和分布式服务器平台上为并发请求执行复杂的逻辑-简而言之，它们很复杂。请求模式或系统配置中的细微变化通常会带来意想不到的不良性能后果。论文论证了互联网服务的实用系统管理，可以提高性能的可靠性，提高原始性能，并提高数据中心的性能成本比。在我们的方法中，系统管理以服务性能的易于理解和易于应用的模型为指导。这些性能模型易于理解，因为它们使用许多服务共有的真实系统属性来表征应用程序级性能（例如，响应时间和吞吐量）。它们易于使用，因为它们已通过可在实践中收集的系统测量值进行了校准。它们在系统管理中很有用，因为它们可以预测如果采取了预期的措施，性能将会是什么样。特别是，本文针对实际中经常考虑采取的行动，提供了模型驱动的系统管理方法的案例研究，例如，如果更改了组件放置策略，如何更改了负载平衡策略，以及是否对服务进行了合并，该怎么办。在实际操作条件下使用几种Internet服务的实验结果表明了模型驱动的系统管理的潜力。

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