%0 Conference Proceedings
%T Self-scalable Benchmarking as a Service with Automatic Saturation Detection
%+ Laboratoire d'Informatique de Grenoble (LIG)
%+ Orange Labs [Meylan]
%+ Efficient and Robust Distributed Systems (ERODS)
%+ Middleware efficiently scalable (MESCAL)
%A Tchana, Alain
%A Dillenseger, Bruno
%A de Palma, Noel
%A Etchevers, Xavier
%A Vincent, Jean-Marc
%A Salmi, Nabila
%A Harbaoui, Ahmed
%Z Part 4: Services
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 14th International Middleware Conference (Middleware)
%C Beijing, China
%Y David Hutchison
%Y Takeo Kanade
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Moshe Y. Vardi
%Y Gerhard Weikum
%Y David Eyers
%Y Karsten Schwan
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%Y Bernhard Steffen
%Y Madhu Sudan
%I Springer
%3 Middleware 2013
%V LNCS-8275
%P 389-404
%8 2013-12-09
%D 2013
%R 10.1007/978-3-642-45065-5_20
%K Benchmarking as a service
%K Saturation detection
%K Cloud
%Z Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
%Z Computer Science [cs]/Operating Systems [cs.OS]
%Z Computer Science [cs]/Performance [cs.PF]Conference papers
%X 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.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-00949560/document
%2 https://inria.hal.science/hal-00949560/file/978-3-642-45065-5_20_Chapter.pdf
%L hal-00949560
%U https://inria.hal.science/hal-00949560
%~ UGA
%~ CNRS
%~ INRIA
%~ UNIV-GRENOBLE1
%~ UNIV-PMF_GRENOBLE
%~ INPG
%~ INRIA-RHA
%~ LIG
%~ INRIA_TEST
%~ GRID5000
%~ LIG_SRCPR
%~ LIG_SRCPR_ERODS
%~ TESTALAIN1
%~ IFIP-LNCS
%~ IFIP
%~ INRIA2
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-LNCS-8275
%~ IFIP-MIDDLEWARE
%~ INRIA-RENGRE
%~ SILECS
%~ LIG_SIDCH
%~ TEST3-HALCNRS