Automatic Performance Space Exploration of Web Applications

Tanwir Ahmad; Fredrik Abbors; Dragos Truscan

doi:10.1007/978-3-319-25579-8_8

Automatic Performance Space Exploration of Web Applications

Tanwir Ahmad, Fredrik Abbors, Dragos Truscan

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

Web applications have become crucial components of current service-oriented business applications. Therefore, it is very important for the company's reputation that the performance of a web application has been tested thoroughly before deployment. We present a tool-supported performance exploration approach to investigate how potential user behavioral patterns affect the performance of the system under test. This work builds on our previous work in which we generate load from workload models describing the expected behavior of the users. We mutate a given workload model (specified using Probabilistic Timed Automata) in order to generate different mutants. Each mutant is used for load generation using the MBPeT tool and the resource utilization of the system under test is monitored. At the end of an experiment, we analyze the mutants in two ways: cluster the mutants based on the resource utilization of the system under test and identify those mutants that satisfy the criteria of given objective functions.

Original language	Undefined/Unknown
Title of host publication	Economics of Grids, Clouds, Systems, and Services
Editors	OF Rana, J Altmann, GC Silaghi
Publisher	Springer
Pages	223–235
ISBN (Electronic)	978-3-319-43177-2
ISBN (Print)	978-3-319-43176-5
DOIs	https://doi.org/10.1007/978-3-319-25579-8_8
Publication status	Published - 2016
MoE publication type	A4 Article in a conference publication
Event	International Conference on Economics of Grids, Clouds, Systems, and Services (GECON) - 12th International Conference on Economics of Grids, Clouds, Systems, and Services (GECON) Duration: 15 Sept 2015 → 17 Sept 2015

Conference

Conference	International Conference on Economics of Grids, Clouds, Systems, and Services (GECON)
Period	15/09/15 → 17/09/15

Access to Document

10.1007/978-3-319-25579-8_8

inpAhAbTr15a.full.pdf

http://tucs.fi/publications/view/?pub_id=cAbTrAh15a

N4S: Need for Speed
Porres Paltor, I. (Principal Investigator), Nybom, K. (Co-Investigator), Truscan, D. (Co-Investigator), Ashraf, A. (Co-Investigator), Troubitsyna, E. (Co-Investigator), Byholm, B. (Co-Investigator), Rauf, I. M. (Co-Investigator) & Ahmad, T. (Co-Investigator)
01/01/14 → 31/12/16
Project: Industry/Business Finland

Cite this

@inproceedings{544c7eef8b6643e4aa6fc9434294fac6,

title = "Automatic Performance Space Exploration of Web Applications",

abstract = "Web applications have become crucial components of current service-oriented business applications. Therefore, it is very important for the company's reputation that the performance of a web application has been tested thoroughly before deployment. We present a tool-supported performance exploration approach to investigate how potential user behavioral patterns affect the performance of the system under test. This work builds on our previous work in which we generate load from workload models describing the expected behavior of the users. We mutate a given workload model (specified using Probabilistic Timed Automata) in order to generate different mutants. Each mutant is used for load generation using the MBPeT tool and the resource utilization of the system under test is monitored. At the end of an experiment, we analyze the mutants in two ways: cluster the mutants based on the resource utilization of the system under test and identify those mutants that satisfy the criteria of given objective functions.",

author = "Tanwir Ahmad and Fredrik Abbors and Dragos Truscan",

year = "2016",

doi = "10.1007/978-3-319-25579-8_8",

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pages = "223–235",

editor = "OF Rana and J Altmann and GC Silaghi",

booktitle = "Economics of Grids, Clouds, Systems, and Services",

publisher = "Springer",

note = "International Conference on Economics of Grids, Clouds, Systems, and Services (GECON) ; Conference date: 15-09-2015 Through 17-09-2015",

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T1 - Automatic Performance Space Exploration of Web Applications

AU - Ahmad, Tanwir

AU - Abbors, Fredrik

AU - Truscan, Dragos

PY - 2016

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N2 - Web applications have become crucial components of current service-oriented business applications. Therefore, it is very important for the company's reputation that the performance of a web application has been tested thoroughly before deployment. We present a tool-supported performance exploration approach to investigate how potential user behavioral patterns affect the performance of the system under test. This work builds on our previous work in which we generate load from workload models describing the expected behavior of the users. We mutate a given workload model (specified using Probabilistic Timed Automata) in order to generate different mutants. Each mutant is used for load generation using the MBPeT tool and the resource utilization of the system under test is monitored. At the end of an experiment, we analyze the mutants in two ways: cluster the mutants based on the resource utilization of the system under test and identify those mutants that satisfy the criteria of given objective functions.

AB - Web applications have become crucial components of current service-oriented business applications. Therefore, it is very important for the company's reputation that the performance of a web application has been tested thoroughly before deployment. We present a tool-supported performance exploration approach to investigate how potential user behavioral patterns affect the performance of the system under test. This work builds on our previous work in which we generate load from workload models describing the expected behavior of the users. We mutate a given workload model (specified using Probabilistic Timed Automata) in order to generate different mutants. Each mutant is used for load generation using the MBPeT tool and the resource utilization of the system under test is monitored. At the end of an experiment, we analyze the mutants in two ways: cluster the mutants based on the resource utilization of the system under test and identify those mutants that satisfy the criteria of given objective functions.

U2 - 10.1007/978-3-319-25579-8_8

DO - 10.1007/978-3-319-25579-8_8

M3 - Konferensbidrag

SN - 978-3-319-43176-5

SP - 223

EP - 235

BT - Economics of Grids, Clouds, Systems, and Services

A2 - Rana, OF

A2 - Altmann, J

A2 - Silaghi, GC

PB - Springer

T2 - International Conference on Economics of Grids, Clouds, Systems, and Services (GECON)

Y2 - 15 September 2015 through 17 September 2015

ER -

Automatic Performance Space Exploration of Web Applications

Abstract

Conference

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Projects

N4S: Need for Speed

Cite this