arXiv Open Access 2022

Workload Similarity Analysis using Machine Learning Techniques

Ashish Ledalla Vineet Singh Deepak Mishra

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Abstrak

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.

Topik & Kata Kunci

cs.PF

Penulis (3)

Ashish Ledalla

Vineet Singh

Deepak Mishra

Format Sitasi

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Ledalla, A., Singh, V., Mishra, D. (2022). Workload Similarity Analysis using Machine Learning Techniques. https://arxiv.org/abs/2210.13757

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓