Volume 9 Number 3 (Mar. 2014)
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JSW 2014 Vol.9(3): 553-559
doi: 10.4304/jsw.9.3.553-559

QoS-aware SaaS Services Selection with Interval Numbers for Group User

Zhanlin Yu , Longchang Zhang

  • College of Information Science and Technology, Bohai University, Jinzhou, China

Abstract

The integration of SaaS service for group user incloud is challenging, notably because the service’s QoS andmember’s personalization QoS preference in group areuncertain. This is a timely and importance problem with theadvent of the SaaS model of service delivery. Therefore,before the SaaS service been utilized, the service alternativesmust be ranked for group user based on services’ QoS andQoS preference expressed by interval numbers. So, QoSawareSaaS services selection with interval numbers forgroup user (QSSSIN_GU) is proposed, in order to identifythe pros and cons of alternatives. This approach can obtainthe group optimal service when the member’s QoSpreference in group is personalized and the QoS of servicealternatives expressed by interval numbers. Finally, fourexperiments are given to demonstrate the benefits andeffectiveness of QoS-aware SaaS services selection withinterval numbers for group user. That is a feasible andsupplementary manner in selecting the SaaS services forgroup user with interval numbers.

Keywords

  • software as a service (SaaS)
  • cloud serv
jsw0903-04

How to Cite

Copied

Zhanlin Yu and Longchang Zhang, "QoS-aware SaaS Services Selection with Interval Numbers for Group User," Journal of Software, vol. 9, no. 3, pp. 553-559, 2014. https://doi.org/ 10.4304/jsw.9.3.553-559

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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