Evaluating web service quality using finite state models

Olga Kondratyeva; Natalia Kushik; Ana Cavalli; Nina Yevtushenko

doi:10.1109/QSIC.2013.52

Evaluating web service quality using finite state models

Olga Kondratyeva
, Natalia Kushik
, Ana Cavalli
, Nina Yevtushenko

CNRS SAMOVAR UMR 5157
Tomsk State University

Résultats de recherche: Contribution à une conférence › Papier › Revue par des pairs

Résumé

This paper addresses the problem of evaluating the web service quality using Finite State Machines. The most popular metrics for estimating such quality and user perception are Quality of Service (QoS) and Quality of Experience (QoE), which represent objective and subjective assessments, correspondingly. In this paper, we show how QoS can be estimated for web services and their composition using finite state models. We also discuss how different machine learning algorithms can be applied for evaluating QoE of web services based on known QoS parameter values.

langue originale	Anglais
Pages	95-102
Nombre de pages	8
Les DOIs	https://doi.org/10.1109/QSIC.2013.52
état	Publié - 21 oct. 2013
Modification externe	Oui
Evénement	13th International Conference on Quality Software, QSIC 2013 - Nanjing, Jiangsu, Chine Durée: 29 juil. 2013 → 30 juil. 2013

Une conférence

Une conférence	13th International Conference on Quality Software, QSIC 2013
Pays/Territoire	Chine
La ville	Nanjing, Jiangsu
période	29/07/13 → 30/07/13

Accès au document

10.1109/QSIC.2013.52

Autres fichiers et liens

Lien vers la publication dans Scopus

Contient cette citation

@conference{f7e8a041295a4346badf6df978ef8efd,

title = "Evaluating web service quality using finite state models",

abstract = "This paper addresses the problem of evaluating the web service quality using Finite State Machines. The most popular metrics for estimating such quality and user perception are Quality of Service (QoS) and Quality of Experience (QoE), which represent objective and subjective assessments, correspondingly. In this paper, we show how QoS can be estimated for web services and their composition using finite state models. We also discuss how different machine learning algorithms can be applied for evaluating QoE of web services based on known QoS parameter values.",

keywords = "QoE, QoS, finite state models, quality of (composite) service, web service",

author = "Olga Kondratyeva and Natalia Kushik and Ana Cavalli and Nina Yevtushenko",

year = "2013",

month = oct,

day = "21",

doi = "10.1109/QSIC.2013.52",

language = "English",

pages = "95--102",

note = "13th International Conference on Quality Software, QSIC 2013 ; Conference date: 29-07-2013 Through 30-07-2013",

}

TY - CONF

T1 - Evaluating web service quality using finite state models

AU - Kondratyeva, Olga

AU - Kushik, Natalia

AU - Cavalli, Ana

AU - Yevtushenko, Nina

PY - 2013/10/21

Y1 - 2013/10/21

N2 - This paper addresses the problem of evaluating the web service quality using Finite State Machines. The most popular metrics for estimating such quality and user perception are Quality of Service (QoS) and Quality of Experience (QoE), which represent objective and subjective assessments, correspondingly. In this paper, we show how QoS can be estimated for web services and their composition using finite state models. We also discuss how different machine learning algorithms can be applied for evaluating QoE of web services based on known QoS parameter values.

AB - This paper addresses the problem of evaluating the web service quality using Finite State Machines. The most popular metrics for estimating such quality and user perception are Quality of Service (QoS) and Quality of Experience (QoE), which represent objective and subjective assessments, correspondingly. In this paper, we show how QoS can be estimated for web services and their composition using finite state models. We also discuss how different machine learning algorithms can be applied for evaluating QoE of web services based on known QoS parameter values.

KW - QoE

KW - QoS

KW - finite state models

KW - quality of (composite) service

KW - web service

UR - https://www.scopus.com/pages/publications/84885599503

U2 - 10.1109/QSIC.2013.52

DO - 10.1109/QSIC.2013.52

M3 - Paper

AN - SCOPUS:84885599503

SP - 95

EP - 102

T2 - 13th International Conference on Quality Software, QSIC 2013

Y2 - 29 July 2013 through 30 July 2013

ER -

Evaluating web service quality using finite state models

Résumé

Une conférence

Accès au document

Autres fichiers et liens

Empreinte digitale

Contient cette citation