WCSE

Automatic Discovery of IaaS Cloud Workload Types

Abstract— The paper presents an approach to automatic discovery of workloads types. We perform functional characteristics of the workloads executed in our cloud environment, that have been used to create model of the computations. To categorize the resources utilization we used K-means algorithm, that allow us automatically select six types of computations. We perform analysis of the discovered types against to typical computational benchmarks, finding the strong correlation between functional classes and the resource utilization.

Index Terms— IaaS, workload discovery, k-means, cloud load prediction,

Piotr Orzechowski, Jerzy Proficz
Academic Computer Center, Gdańsk University of Technology, POLAND
Henryk Krawczyk, Julian Szymański
Faculty of Electronics, Telecommunication and Informatics, Gdańsk University of Technology, POLAND

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Cite: 作Piotr Orzechowski, Jerzy Proficz, Henryk Krawczyk, Julian Szymański, "Automatic Discovery of IaaS Cloud Workload Types," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 453-458, Tokyo, 17-19 June, 2016.