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A low cost workload generation approach through the cloud for capacity planning in Service-Oriented Systems

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conference contribution
posted on 09.12.2016, 16:15 by C. H. G. Ferreira, J. C. Estrella, L. H. Nunes, Stephan Reiff-Marganiec, B. G. Batista, L. H. V. Nakamura, D. Leite, M. Peixoto, R. M. D. O. Libardi
This paper presents a cloud approach for low cost capacity planning evaluations. To perform these evaluations we have to specify and measure the workload on the target system to discover issues and make the necessary adjustments. However, due to high costs, these evaluations are usually done using simulations, which does not consider stochastic effects. We propose to use a tool named PEESOS, a generic and flexible approach to apply real workloads and measure used resources on these real systems. As a proof of concept, our case study use a real ticket sales service to evaluate the influence of scalability in the resource provisioning to show how PEESOS can lower the cost of such real evaluations. The results show the efficiency and savings that we can obtain using PEESOS for large-scale capacity planning evaluations before the real services are deployed. This approach can avoid several problems that real services faces when they launch.

Funding

The authors would like to thank National Council for Scientific and Technological Development (CNPQ, process 139917/2014- 4) and S˜ao Paulo Research Fundation (FAPESP, processes 11/09524-7, 13/26420-6, 11/12670-5), for the support of this research.

History

Citation

IEEE International Conference on Communications 21-25 May 2017, Paris, France Bridging People, Communities, and Cultures

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science

Source

IEEE International Conference on Communications 21-25 May 2017, Paris, France Bridging People, Communities, and Cultures

Version

AM (Accepted Manuscript)

Published in

IEEE International Conference on Communications 21-25 May 2017

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Acceptance date

13/07/2016

Available date

27/03/2018

Publisher version

https://dl.acm.org/citation.cfm?id=3018900

Temporal coverage: start date

21/05/2017

Temporal coverage: end date

25/05/2017

Language

en

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