QoS based Web Service Selection and Multi-Criteria Decision Making Methods. / Bagga, Pallavi; Joshi, Aarchit; Hans, Rahul.

In: International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 5, No. 4, 15.12.2017, p. 113-121.

Research output: Contribution to journalArticle

Published

Standard

QoS based Web Service Selection and Multi-Criteria Decision Making Methods. / Bagga, Pallavi; Joshi, Aarchit; Hans, Rahul.

In: International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 5, No. 4, 15.12.2017, p. 113-121.

Research output: Contribution to journalArticle

Harvard

Bagga, P, Joshi, A & Hans, R 2017, 'QoS based Web Service Selection and Multi-Criteria Decision Making Methods', International Journal of Interactive Multimedia and Artificial Intelligence, vol. 5, no. 4, pp. 113-121. https://doi.org/10.9781/ijimai.2017.12.001

APA

Bagga, P., Joshi, A., & Hans, R. (2017). QoS based Web Service Selection and Multi-Criteria Decision Making Methods. International Journal of Interactive Multimedia and Artificial Intelligence, 5(4), 113-121. https://doi.org/10.9781/ijimai.2017.12.001

Vancouver

Bagga P, Joshi A, Hans R. QoS based Web Service Selection and Multi-Criteria Decision Making Methods. International Journal of Interactive Multimedia and Artificial Intelligence. 2017 Dec 15;5(4):113-121. https://doi.org/10.9781/ijimai.2017.12.001

Author

Bagga, Pallavi ; Joshi, Aarchit ; Hans, Rahul. / QoS based Web Service Selection and Multi-Criteria Decision Making Methods. In: International Journal of Interactive Multimedia and Artificial Intelligence. 2017 ; Vol. 5, No. 4. pp. 113-121.

BibTeX

@article{5efdf6698744466c8a37f3ef6eb74d75,
title = "QoS based Web Service Selection and Multi-Criteria Decision Making Methods",
abstract = "With the continuing proliferation of web services offering similar efficacies, around the globe, it has become a challenge for a user to select the best web service. In literature, this challenge is exhibited as a 0-1 knapsack problem of multiple dimensions and multiple choices, known as an NP-hard problem. Multi-Criteria Decision Making (MCDM) method is one of the ways which suits this problem and helps the users to select the best service based on his/her preferences. In this regard, this paper assists the researchers in two conducts: Firstly, to witness the performance of different MCDM methods for large number of alternatives and attributes. Secondly, to perceive the possible deviation in the ranking obtained from these methods. For carrying out the experimentalevaluation, in this paper, five different well-known MCDM methods have been implemented and compared over two different scenarios of 50 as well as 100 web services, where their ranking is defined on an account of several Quality of Service (QoS) parameters. Additionally, a Spearman’s Rank Correlation Coefficient has been calculated for different pairs of MCDM methods in order to provide a clear depiction of MCDM methods showing the least deviation in their ranking. The experimental results comfort web service users in conquering an appropriate decision on the selection of suitable service.",
author = "Pallavi Bagga and Aarchit Joshi and Rahul Hans",
year = "2017",
month = "12",
day = "15",
doi = "10.9781/ijimai.2017.12.001",
language = "English",
volume = "5",
pages = "113--121",
journal = "International Journal of Interactive Multimedia and Artificial Intelligence",
number = "4",

}

RIS

TY - JOUR

T1 - QoS based Web Service Selection and Multi-Criteria Decision Making Methods

AU - Bagga, Pallavi

AU - Joshi, Aarchit

AU - Hans, Rahul

PY - 2017/12/15

Y1 - 2017/12/15

N2 - With the continuing proliferation of web services offering similar efficacies, around the globe, it has become a challenge for a user to select the best web service. In literature, this challenge is exhibited as a 0-1 knapsack problem of multiple dimensions and multiple choices, known as an NP-hard problem. Multi-Criteria Decision Making (MCDM) method is one of the ways which suits this problem and helps the users to select the best service based on his/her preferences. In this regard, this paper assists the researchers in two conducts: Firstly, to witness the performance of different MCDM methods for large number of alternatives and attributes. Secondly, to perceive the possible deviation in the ranking obtained from these methods. For carrying out the experimentalevaluation, in this paper, five different well-known MCDM methods have been implemented and compared over two different scenarios of 50 as well as 100 web services, where their ranking is defined on an account of several Quality of Service (QoS) parameters. Additionally, a Spearman’s Rank Correlation Coefficient has been calculated for different pairs of MCDM methods in order to provide a clear depiction of MCDM methods showing the least deviation in their ranking. The experimental results comfort web service users in conquering an appropriate decision on the selection of suitable service.

AB - With the continuing proliferation of web services offering similar efficacies, around the globe, it has become a challenge for a user to select the best web service. In literature, this challenge is exhibited as a 0-1 knapsack problem of multiple dimensions and multiple choices, known as an NP-hard problem. Multi-Criteria Decision Making (MCDM) method is one of the ways which suits this problem and helps the users to select the best service based on his/her preferences. In this regard, this paper assists the researchers in two conducts: Firstly, to witness the performance of different MCDM methods for large number of alternatives and attributes. Secondly, to perceive the possible deviation in the ranking obtained from these methods. For carrying out the experimentalevaluation, in this paper, five different well-known MCDM methods have been implemented and compared over two different scenarios of 50 as well as 100 web services, where their ranking is defined on an account of several Quality of Service (QoS) parameters. Additionally, a Spearman’s Rank Correlation Coefficient has been calculated for different pairs of MCDM methods in order to provide a clear depiction of MCDM methods showing the least deviation in their ranking. The experimental results comfort web service users in conquering an appropriate decision on the selection of suitable service.

U2 - 10.9781/ijimai.2017.12.001

DO - 10.9781/ijimai.2017.12.001

M3 - Article

VL - 5

SP - 113

EP - 121

JO - International Journal of Interactive Multimedia and Artificial Intelligence

JF - International Journal of Interactive Multimedia and Artificial Intelligence

IS - 4

ER -