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

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	95-102
Number of pages	8
DOIs	https://doi.org/10.1109/QSIC.2013.52
Publication status	Published - 21 Oct 2013
Externally published	Yes
Event	13th International Conference on Quality Software, QSIC 2013 - Nanjing, Jiangsu, China Duration: 29 Jul 2013 → 30 Jul 2013

Conference

Conference	13th International Conference on Quality Software, QSIC 2013
Country/Territory	China
City	Nanjing, Jiangsu
Period	29/07/13 → 30/07/13

Keywords

QoE
QoS
finite state models
quality of (composite) service
web service

Access to Document

10.1109/QSIC.2013.52

Cite this

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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.",

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

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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

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DO - 10.1109/QSIC.2013.52

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Evaluating web service quality using finite state models

Abstract

Conference

Keywords

Access to Document

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Cite this