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首页> 外文期刊>Journal of supercomputing >An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications
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An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications

机译:不同性能预测方法在分布式企业应用中的应用研究

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摘要

Response time predictions for workload on new server architectures can enhance Service Level Agreement-based resource management. This paper evaluates two performance prediction methods using a distributed enterprise application benchmark. The historical method makes predictions by extrapolating from previously gathered performance data, while the layered queuing method makes predictions by solving layered queuing networks. The methods are evaluated in terms of: the systems that can be modelled; the metrics that can be predicted; the ease with which the models can be created and the level of expertise required; the overheads of recalibrating a model; and the delay when evaluating a prediction. The paper also investigates how a prediction-enhanced resource management algorithm can be tuned so as to compensate for predictive inaccuracy and balance the costs of SLA violations and server usage.
机译:新服务器体系结构上的工作负载响应时间预测可以增强基于服务水平协议的资源管理。本文使用分布式企业应用程序基准评估了两种性能预测方法。历史方法是通过从先前收集的性能数据中推断出来来进行预测的,而分层排队方法是通过解决分层排队网络来进行预测的。根据以下方面评估这些方法:可以建模的系统;可以预测的指标;创建模型的难易程度和所需的专业知识水平;重新校准模型的开销;以及评估预测时的延迟。本文还研究了如何调整预测增强型资源管理算法,以补偿预测性的不准确性,并平衡违反SLA和服务器使用的成本。

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