论文标题
使用机器学习技术的工作负载相似性分析
Workload Similarity Analysis using Machine Learning Techniques
论文作者
论文摘要
在1中找到两个工作负载行为之间的相似性很有帮助。创建代理工作负载2。通过将其行为与已知的工作负载相匹配，表征未知工作负载的行为。在本文中，我们提出了一种方法，使用基于机器学习的基于机器学习的分析对两个工作负载的执行运行收集的性能遥测数据进行分析。我们还通过测量各种知识基准工作负载之间的相似性来证明该技术的准确性。
Finding the similarity between two workload behaviors is helpful in 1. creating proxy workloads 2. characterizing an unknown workload's behavior by matching its behavior against known workloads. In this article, we propose a method to measure the similarity between two workloads using machine learning-based analysis of the performance telemetry data collected for the execution runs of the two workloads. We also demonstrate the accuracy of the technique by measuring the similarity between a variety of know benchmark workloads.
