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Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) pp 631–640Cite as

Development of Web Services Fuzzy Quality Models using Data Clustering Approach

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 285))

Abstract

This paper presents the fuzzy clustering of web services’ quality of service (QoS) data using Fuzzy C-Means (FCM) algorithm. It was conducted based on actual QoS data gathered from the network. The work involved three data sets that represented three different QoS parameters. Each data set contained 1,500 data points. The clustering was validated using Xie-Beni index to ensure that it performed optimally. As a result, three fuzzy quality models were produced that represented the three QoS parameters. The work implies potential new findings on fuzzy-based web services’ applications, mainly in reducing computational complexity. The work also benefits the less technical-knowledgeable requestors as the fuzzy quality models can guide them to find services with realistic QoS performance. For future work, the fuzzy quality models will be employed in web services’ QoS monitoring application. They will also be equipped with an adaptive mechanism that supports the dynamic nature of web services.

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Author information

Authors and Affiliations

  1. Computer and Information Sciences Department, Universiti Teknologi PETRONAS, 37150, Tronoh, Perak, Malaysia

    Mohd Hilmi Hasan, Jafreezal Jaafar & Mohd Fadzil Hassan

Authors
  1. Mohd Hilmi Hasan
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  2. Jafreezal Jaafar
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  3. Mohd Fadzil Hassan
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Corresponding author

Correspondence to Mohd Hilmi Hasan .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Mustafa Mat Deris

  3. School of Information Technology, Deakin University, Burwood, Victoria, Australia

    Jemal Abawajy

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© 2014 Springer Science+Business Media Singapore

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Hasan, M.H., Jaafar, J., Hassan, M.F. (2014). Development of Web Services Fuzzy Quality Models using Data Clustering Approach. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_71

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  • DOI: https://doi.org/10.1007/978-981-4585-18-7_71

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4585-17-0

  • Online ISBN: 978-981-4585-18-7

  • eBook Packages: EngineeringEngineering (R0)

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