Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment

Zahra Ali; Abdul Ahad; Ibraheem Shayea; Ivan Miguel Pires

doi:10.1109/WINCOM59760.2023.10322889

Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment

Zahra Ali^*, Abdul Ahad, Ibraheem Shayea, Ivan Miguel Pires

^*Corresponding author for this work

Faculty of Electrical and Electronics

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

Abstract

The search for a reliable cloud service provider has become increasingly complex due to the increasing reliance on them. Researchers have developed a multi-criteria decision-making (MCDM) method, including the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking. However, the selection process often relies on only a few aspects of service quality, known as Quality of Service (QoS) parameters. This research proposes a comprehensive methodology, using the Consensus Assessment Initiative Questionnaire (CAIQ) to select standardized QoS parameters and then applying the MCDM method, incorporating TOPSIS, to rank cloud service providers based on their performance. This approach aims to improve the accuracy and reliability of the selection process, enabling individuals and organizations to confidently identify and choose the most trustworthy cloud service providers for their specific needs.

Original language	English
Title of host publication	Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023
Editors	Khalil Ibrahimi, Mohamed El Kamili, Abdellatif Kobbane, Ibraheem Shayea
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350329674
DOIs	https://doi.org/10.1109/WINCOM59760.2023.10322889
Publication status	Published - 2023
Event	10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023 - Istanbul, Turkey Duration: 26 Oct 2023 → 28 Oct 2023

Publication series

Name	Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023

Conference

Conference	10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023
Country/Territory	Turkey
City	Istanbul
Period	26/10/23 → 28/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

heterogeneous QoS
MCDM
Multi-criteria decision-making
TOPSIS

Access to Document

10.1109/WINCOM59760.2023.10322889

Cite this

Ali, Z., Ahad, A., Shayea, I., & Pires, I. M. (2023). Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment. In K. Ibrahimi, M. El Kamili, A. Kobbane, & I. Shayea (Eds.), Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023 (Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WINCOM59760.2023.10322889

Ali, Zahra ; Ahad, Abdul ; Shayea, Ibraheem et al. / Improving Accuracy in Cloud Service Provider Ranking : Integrating TOPSIS with CAIQ-based QoS Assessment. Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023. editor / Khalil Ibrahimi ; Mohamed El Kamili ; Abdellatif Kobbane ; Ibraheem Shayea. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023).

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title = "Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment",

abstract = "The search for a reliable cloud service provider has become increasingly complex due to the increasing reliance on them. Researchers have developed a multi-criteria decision-making (MCDM) method, including the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking. However, the selection process often relies on only a few aspects of service quality, known as Quality of Service (QoS) parameters. This research proposes a comprehensive methodology, using the Consensus Assessment Initiative Questionnaire (CAIQ) to select standardized QoS parameters and then applying the MCDM method, incorporating TOPSIS, to rank cloud service providers based on their performance. This approach aims to improve the accuracy and reliability of the selection process, enabling individuals and organizations to confidently identify and choose the most trustworthy cloud service providers for their specific needs.",

keywords = "heterogeneous QoS, MCDM, Multi-criteria decision-making, TOPSIS",

author = "Zahra Ali and Abdul Ahad and Ibraheem Shayea and Pires, {Ivan Miguel}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023 ; Conference date: 26-10-2023 Through 28-10-2023",

year = "2023",

doi = "10.1109/WINCOM59760.2023.10322889",

language = "English",

series = "Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Khalil Ibrahimi and {El Kamili}, Mohamed and Abdellatif Kobbane and Ibraheem Shayea",

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}

Ali, Z, Ahad, A, Shayea, I & Pires, IM 2023, Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment. in K Ibrahimi, M El Kamili, A Kobbane & I Shayea (eds), Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023. Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023, Institute of Electrical and Electronics Engineers Inc., 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023, Istanbul, Turkey, 26/10/23. https://doi.org/10.1109/WINCOM59760.2023.10322889

Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment. / Ali, Zahra; Ahad, Abdul; Shayea, Ibraheem et al.
Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023. ed. / Khalil Ibrahimi; Mohamed El Kamili; Abdellatif Kobbane; Ibraheem Shayea. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023).

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

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T1 - Improving Accuracy in Cloud Service Provider Ranking

T2 - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023

AU - Ali, Zahra

AU - Ahad, Abdul

AU - Shayea, Ibraheem

AU - Pires, Ivan Miguel

PY - 2023

Y1 - 2023

N2 - The search for a reliable cloud service provider has become increasingly complex due to the increasing reliance on them. Researchers have developed a multi-criteria decision-making (MCDM) method, including the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking. However, the selection process often relies on only a few aspects of service quality, known as Quality of Service (QoS) parameters. This research proposes a comprehensive methodology, using the Consensus Assessment Initiative Questionnaire (CAIQ) to select standardized QoS parameters and then applying the MCDM method, incorporating TOPSIS, to rank cloud service providers based on their performance. This approach aims to improve the accuracy and reliability of the selection process, enabling individuals and organizations to confidently identify and choose the most trustworthy cloud service providers for their specific needs.

AB - The search for a reliable cloud service provider has become increasingly complex due to the increasing reliance on them. Researchers have developed a multi-criteria decision-making (MCDM) method, including the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking. However, the selection process often relies on only a few aspects of service quality, known as Quality of Service (QoS) parameters. This research proposes a comprehensive methodology, using the Consensus Assessment Initiative Questionnaire (CAIQ) to select standardized QoS parameters and then applying the MCDM method, incorporating TOPSIS, to rank cloud service providers based on their performance. This approach aims to improve the accuracy and reliability of the selection process, enabling individuals and organizations to confidently identify and choose the most trustworthy cloud service providers for their specific needs.

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A2 - Ibrahimi, Khalil

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ER -

Ali Z, Ahad A, Shayea I, Pires IM. Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment. In Ibrahimi K, El Kamili M, Kobbane A, Shayea I, editors, Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023). doi: 10.1109/WINCOM59760.2023.10322889

Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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