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CLOUDGEN: Workload generation for the evaluation of cloud computing systems CLOUDGEN: Bulut Bilişim Sistemlerinin Başarim Deǧerlendirmesi icin Iş Yuku Uretimi
Date
2019-04-01
Author
Koltuk, Furkan
Yazar, Alper
Schmidt, Şenan Ece
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Workload generation
,
Distribution fitting
,
Cloud computing
URI
https://hdl.handle.net/11511/43278
DOI
https://doi.org/10.1109/siu.2019.8806358
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar