Self-scalable Benchmarking as a Service with Automatic Saturation Detection

  • Alain Tchana
  • Bruno Dillenseger
  • Noel De Palma
  • Xavier Etchevers
  • Jean-Marc Vincent
  • Nabila Salmi
  • Ahmed Harbaoui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8275)

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.

Keywords

Benchmarking as a service Saturation detection Cloud 

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Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Alain Tchana
    • 1
  • Bruno Dillenseger
    • 2
  • Noel De Palma
    • 1
  • Xavier Etchevers
    • 2
  • Jean-Marc Vincent
    • 1
  • Nabila Salmi
    • 2
  • Ahmed Harbaoui
    • 2
  1. 1.LIGJoseph Fourier UniversityGrenobleFrance
  2. 2.Orange LabsGrenobleFrance

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