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Characterizing Workload of Web Applications on Virtualized Servers

机译:表征虚拟服务器上Web应用程序的工作负载

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With the ever increasing demands of cloud computing services, planning and management of cloud resources has become a more and more important issue which directed affects the resource utilization and SLA and customer satisfaction. But before any management strategy is made, a good understanding of applications' workload in virtualized environment is the basic fact and principle to the resource management methods. Unfortunately, little work has been focused on this area. Lack of raw data could be one reason; another reason is that people still use the traditional models or methods shared under non-virtualized environment. The study of applications' workload in virtualized environment should take on some of its peculiar features comparing to the non-virtualized environment. In this paper, we are open to analyze the workload demands that reflect applications' behavior and the impact of virtu-alization. The results are obtained from an experimental cloud testbed running web applications, specifically the RUBiS benchmark application. We profile the workload dynamics on both virtualized and non-virtualized environments and compare the findings. The experimental results are valuable for us to estimate the performance of applications on computer architectures, to predict SLA compliance or violation based on the projected application workload and to guide the decision making to support applications with the right hardware.
机译:随着云计算服务需求的不断增长,对云资源的规划和管理已成为越来越重要的问题,直接影响到资源的利用率,服务水平协议(SLA)和客户满意度。但是在制定任何管理策略之前,充分了解虚拟化环境中应用程序的工作量是资源管理方法的基本事实和原则。不幸的是,很少有工作集中在这一领域。缺乏原始数据可能是原因之一。另一个原因是人们仍然使用在非虚拟环境下共享的传统模型或方法。与非虚拟化环境相比,对虚拟化环境中的应用程序工作负载的研究应具有其一些独特的功能。在本文中,我们愿意分析反映应用程序行为和虚拟化影响的工作负载需求。这些结果是从运行Web应用程序(特别是RUBiS基准测试应用程序)的实验性云测试平台获得的。我们分析了虚拟化和非虚拟化环境下的工作负载动态,并比较了发现。实验结果对我们评估计算机体系结构上的应用程序性能,基于预计的应用程序工作负荷预测SLA遵从性或违反情况以及指导决策以支持正确的硬件的应用程序非常有价值。

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