Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining

Aalia Hemmati; Sima Emadi

doi:doi:10.11648/j.ijiis.s.2014030601.20

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Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining

Aalia Hemmati, Sima Emadi

Published in International Journal of Intelligent Information Systems (Volume 3, Issue 6-1)

Received: 21 October 2014 Accepted: 23 October 2014 Published: 29 October 2014

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Abstract

The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users’ needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.

Published in	International Journal of Intelligent Information Systems (Volume 3, Issue 6-1) This article belongs to the Special Issue Research and Practices in Information Systems and Technologies in Developing Countries
DOI	10.11648/j.ijiis.s.2014030601.20
Page(s)	56-60
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Web Service, Qualitative Feature of Service, Combining

References

[1]	Q. Yu, M. Rege, A. Bouguettaya,B. Medjahed, M. Quzzani , A Two-Phase Framework For Quality-Aware Web Service Selection, Service Oriented Computing and Applications Journal, Vol 4, No.2, pp. 63-79, 2010.
[2]	M., M., Akbar, M., S., Rahman, M., Kaykobad, E., G, Manninga, G., C., Hoja, Solving the Multidimensional Multiple-choice Knapsack Problem by Constructing Convex Hulls, Computers & Operations Research Journal, Vol. 33, pp. 1259- 1273, 2006.
[3]	S. Choi, S. Jin Sun and S. D. Kim, QoS Metrics for Evaluating Services from the Perspective of Service Providers, in IEEE International Conference, e-Business Engineering, ICEBE (2007), pp. 622-625, 2007.
[4]	J. Fang, S. Hu and Y. Han, A Service Interoperability Assessment Model for Service Composition, in Proceedings of the 2004 IEEE International Conference on Services Computing, IEEE Computer Society, pp. 153-158, 2004.
[5]	R. Sindhgatta, B. Sengupta and K. Ponnalagu, Measuring the Quality of Service Oriented Design, in Proceedings of the 7th International Joint Conference on Service-Oriented Computing, Springer-Verlag: Stockholm, pp. 485-499, 2009.
[6]	S. Choi and S. Kim, A Quality Model for Evaluating Reusability of services in SOA, 10th IEEE Conference on E-commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and EServices,2008.
[7]	B. Shim, S. Choue, S. Kim and S .Park, A Design Quality Model for Service Oriented Architecture, 15th Asia Pacific Software Engineering Conference, pp.403-410, 2008.
[8]	G. Feuerlicht, Design of Composable Services, in Service-Oriented Computing, ICSOC Workshops, 2009.
[9]	N.M. josuttis, SOA in practice the Art of distributed system design, oreilly: united state. pp. 35-46, 2007.
[10]	Z. Rokni, “ choosing the service in service-based architecture based on qualitative features” MA thesis, Shahid Beheshti university, 2011

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APA Style

Aalia Hemmati, Sima Emadi. (2014). Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining. International Journal of Intelligent Information Systems, 3(6-1), 56-60. https://doi.org/10.11648/j.ijiis.s.2014030601.20

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ACS Style

Aalia Hemmati; Sima Emadi. Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 56-60. doi: 10.11648/j.ijiis.s.2014030601.20

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AMA Style

Aalia Hemmati, Sima Emadi. Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining. Int J Intell Inf Syst. 2014;3(6-1):56-60. doi: 10.11648/j.ijiis.s.2014030601.20

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@article{10.11648/j.ijiis.s.2014030601.20,
  author = {Aalia Hemmati and Sima Emadi},
  title = {Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining},
  journal = {International Journal of Intelligent Information Systems},
  volume = {3},
  number = {6-1},
  pages = {56-60},
  doi = {10.11648/j.ijiis.s.2014030601.20},
  url = {https://doi.org/10.11648/j.ijiis.s.2014030601.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.20},
  abstract = {The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users’ needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.},
 year = {2014}
}

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TY  - JOUR
T1  - Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining
AU  - Aalia Hemmati
AU  - Sima Emadi
Y1  - 2014/10/29
PY  - 2014
N1  - https://doi.org/10.11648/j.ijiis.s.2014030601.20
DO  - 10.11648/j.ijiis.s.2014030601.20
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 56
EP  - 60
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.s.2014030601.20
AB  - The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users’ needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.
VL  - 3
IS  - 6-1
ER  -

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Author Information

Aalia Hemmati

Computer Engineering department. Islamic Azad university of Meybod, Yazd, Iran
Sima Emadi

Computer Engineering department. Islamic Azad university of Meybod, Yazd, Iran

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Plain Text BibTeX RIS

APA Style

Aalia Hemmati, Sima Emadi. (2014). Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining. International Journal of Intelligent Information Systems, 3(6-1), 56-60. https://doi.org/10.11648/j.ijiis.s.2014030601.20

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ACS Style

Aalia Hemmati; Sima Emadi. Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 56-60. doi: 10.11648/j.ijiis.s.2014030601.20

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AMA Style

Aalia Hemmati, Sima Emadi. Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining. Int J Intell Inf Syst. 2014;3(6-1):56-60. doi: 10.11648/j.ijiis.s.2014030601.20

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@article{10.11648/j.ijiis.s.2014030601.20,
  author = {Aalia Hemmati and Sima Emadi},
  title = {Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining},
  journal = {International Journal of Intelligent Information Systems},
  volume = {3},
  number = {6-1},
  pages = {56-60},
  doi = {10.11648/j.ijiis.s.2014030601.20},
  url = {https://doi.org/10.11648/j.ijiis.s.2014030601.20},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.20},
  abstract = {The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users’ needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining
AU  - Aalia Hemmati
AU  - Sima Emadi
Y1  - 2014/10/29
PY  - 2014
N1  - https://doi.org/10.11648/j.ijiis.s.2014030601.20
DO  - 10.11648/j.ijiis.s.2014030601.20
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 56
EP  - 60
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.s.2014030601.20
AB  - The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users’ needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.
VL  - 3
IS  - 6-1
ER  -

Copy | Download