CLOUDGEN: Workload Generation for the Evaluation of Cloud Computing Systems

Furkan Koltuk, Alper Yazar, E. G. Schmidt
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引用次数: 2

Abstract

In this paper, we propose CLOUDGEN workflow that produces synthetic workloads for Infrastructure and Platform as a Service for the evaluation of resource management approaches in cloud computing systems. To this end, CLOUDGEN systematically processes and clusters records in a given workload trace and fits distributions for different workload parameters within the clusters. Different than the previous work, clustering is carried out to produce different virtual machine types for achieving models that are suitable for producing Infrastructure and Platform as a Service workload models. Finally, we demonstrate CLOUDGEN by modeling recent Azure traces with enough detail to enable researchers to use these models and generating synthetic traces that are statistically similar to the Azure traces.
CLOUDGEN:用于评估云计算系统的工作负载生成
在本文中,我们提出了CLOUDGEN工作流,该工作流为基础设施和平台即服务生成合成工作负载,用于评估云计算系统中的资源管理方法。为此,CLOUDGEN在给定的工作负载跟踪中系统地处理和集群记录,并为集群内的不同工作负载参数匹配分布。与之前的工作不同的是,执行集群是为了生成不同的虚拟机类型,以实现适合生成基础设施和平台即服务工作负载模型的模型。最后,我们通过对最近的Azure轨迹建模来演示CLOUDGEN,并提供足够的细节,使研究人员能够使用这些模型并生成与Azure轨迹在统计上相似的合成轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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