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Self-scalable Benchmarking as a Service with Automatic Saturation Detection

Abstract : Software applications providers have always been required to perform load testing prior to launching new applications. This crucial test phase is expensive in human and hardware terms, and the solutions generally used would benefit from further development. In particular, designing an appropriate load profile to stress an application is difficult and must be done carefully to avoid skewed testing. In addition, static testing platforms are exceedingly complex to set up. New opportunities to ease load testing solutions are becoming available thanks to cloud computing. This paper describes a Benchmark-as-a-Service platform based on: (i) intelligent generation of traffic to the benched application without inducing thrashing (avoiding predefined load profiles), (ii) a virtualized and self-scalable load injection system. This platform was found to reduce the cost of testing by 50% compared to more commonly used solutions. It was experimented on the reference JEE benchmark RUBiS. This involved detecting bottleneck tiers.
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Submitted on : Thursday, March 2, 2017 - 10:47:47 AM
Last modification on : Friday, January 21, 2022 - 3:10:32 AM
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Alain Tchana, Bruno Dillenseger, Noel de Palma, Xavier Etchevers, Jean-Marc Vincent, et al.. Self-scalable Benchmarking as a Service with Automatic Saturation Detection. 14th International Middleware Conference (Middleware), Dec 2013, Beijing, China. pp.389-404, ⟨10.1007/978-3-642-45065-5_20⟩. ⟨hal-00949560⟩



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