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PaaS-Oriented Performance Modeling for Cloud Computing

机译:面向PaaS的云计算性能建模

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摘要

PaaS is one of the most popular paradigms of cloud computing and the performance guarantee of PaaS-oriented applications has been critically concerned. Performance models, such as a Layer Queue Network (LQN) model, are efficient at performance guaranteeing in a highly dynamic computing environment for their capabilities of capacity planning. However, it is not a trivial work to build and employ such models for a PaaS platform because of the lack of designs and the transaction-intensive feature of the PaaS-oriented applications. In this paper, a PaaS-oriented performance modeling approach is proposed. The LQN model of the PaaS-oriented application can be dynamically built through tracing their interactions with the PaaS platform. And the CPU consumptions, which are important to the accuracy of the LQN model, can be refined through a Kalman-filter method. A modeling tool is implemented and experimental results have shown the effectiveness of our approach.
机译:PaaS是最流行的云计算范例之一,面向PaaS的应用程序的性能保证已受到关注。诸如层队列网络(LQN)模型之类的性能模型在容量规划的能力下,在高度动态的计算环境中可以高效地保证性能。但是,由于缺乏面向PaaS的应用程序的设计和事务密集型功能,因此为PaaS平台构建和使用此类模型并不是一件容易的事。本文提出了一种面向PaaS的性能建模方法。可以通过跟踪与PaaS平台的交互来动态构建面向PaaS的应用程序的LQN模型。对于LQN模型的准确性至关重要的CPU消耗,可以通过卡尔曼滤波方法进行优化。实现了建模工具,实验结果表明了我们方法的有效性。

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