Abstract
Cloud Computing (CC) is a new paradigm in which capabilities and resources related to Information Technology (IT) are provided as services. This provision could be done via the Internet and on-demand, and is accessible without requiring detailed knowledge of the underlying technology. In this paper we assess different service platforms using cloud computing telemetry services. Using an OpenStack telemetry service, namely Ceilometer, we design experiments to assess the performance of different Platform as a Service (PaaS) setups for basic purposes (e.g. database and Web server). The assessment could be use to decide between common used platforms, comparing requisites of storage, processing time and processor load. Given the costs of each metric at a CC platform and the performance of each PaaS setup, the IT manager could choose the most advantage one.
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Notes
- 1.
Instructions to reproduce the experiments in https://github.com/labepi/aciids-2016.
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Acknowledgement
The authors would like to thanks the staff of the Elements of Information Processing Laboratory (LabEPI) for the technical and theoretical support.
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Pereira, F.A.F., Soares, J., Andrade, A.P.V., Silva, G.G., Medeiros, J.P.S. (2016). Using a Cloud Computing Telemetry Service to Assess PaaS Setups. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_31
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