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

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Citation Formats

F. Koltuk, A. Yazar, and Ş. E. Schmidt, “CLOUDGEN: Workload generation for the evaluation of cloud computing systems CLOUDGEN: Bulut Bilişim Sistemlerinin Başarim Deǧerlendirmesi icin Iş Yuku Uretimi,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43278.