ICTACT Journal on Soft Computing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Implementation of QOS based Innovative Framework for Web Services Selection and Composition


Affiliations
1 Department of Computer Science and Engineering, Career Point University, India
2 Department of Computer Science and Information Technology, Janardan Rai Nagar Rajasthan Vidyapeeth, India
3 Department of Psychology, Government Meera Girls College, India
     

   Subscribe/Renew Journal


Web Services in ample amount lying over the net are found similar in functionality varying in QoS (Quality of Services). Various methods and techniques have been proposed by researchers in order to get the most favoured and best-suited candidate services to be able to become the part of the final outcome which is called composite web service. Quality of Service has emerged as an important tool playing decisive role while selecting best candidate web Services as well as Composite Web Services. Undoubtedly, the technique of web services composition is the key property of service-orientation helps create new as well as advanced level services reusing the existing ones. In a distributed environment, services with no quality guarantees, have adverse impact on the final composition outcome. In their efforts to select the most favoured candidate services to be used for the composition, scholars while proposing new composition techniques relied on either Users’ provided feedbacks or Providers’ provided information. None of them took into account both of the information altogether. In our novel approach, we took into account both of the information (Users’ provided feedbacks and Providers’ provided information) altogether. We have designed an innovative framework incorporating an entity called Information Verification Engine whose job is to take into account both of the information, filtering out malicious feedback ratings and cross verifying both of the information in order to find the most suitable candidate web services. We have implemented this newly added Engine taking into account total of 450 Web Services and applying Statistical Computations using SPSS version 21.0. This has helped achieve a set of 279 web services, purely rated by Unbiased Users. Then We Cross Verified both of the ratings which further reduced no. of Web Services to 83. Experimental results confirmed the efficiency and reliability of our proposed framework. Detailed methodology and its implementation has been presented in the later part of this paper.

Keywords

Web Services Composition, SPSS, Mean, Mode, Median, SD, Skewness.
Subscription Login to verify subscription
User
Notifications
Font Size

  • Chandrashekar Jatoth, G.R. Gangadharan, Ugo Fiore and Rajkumar Buyya, “QoS-Aware Big Service Composition using MapReduce based Evolutionary Algorithm with Guided Mutation”, Journal of Future Generation Computer Systems, Vol. 86, pp. 1008-1018, 2018.

  • Guobing Zou, Yanglan Gan, Yixin Chen, Bofeng Zhang, “Dynamic Composition of Web Services using Efficient Planners in Large-Scale Service Repository”, Journal of Knowledge-Based Systems, Vol. 62, pp. 98-112, 2014.

  • Chia-Feng Lin, Ruey-Kai Sheu, Yue-Shan Chang and Shyan-Ming Yuan, “A Relaxable Service Selection Algorithm for QoS-based Web Service Composition”, Journal of Information and Software Technology , Vol. 53, No. 12, pp. 1370-1381, 2011

  • Jose Antonio Parejo, Sergio Segura, Pablo Fernandez and Antonio Ruiz-Cortes, “QoS-Aware Web Services Composition using GRASP with Path Relinking”, Journal of Expert Systems with Applications, Vol. 41, No. 9, pp. 4211-4223, 2014.

  • Daewook Lee, Joonho Kwon, Sangjun Lee, Seog Park and Bonghee Hong, “Scalable and Efficient Web Services Composition based on a Relational Database”, Journal of Systems and Software, Elsevier, Vol. 84, No. 12, pp. 2139-2155, 2011.

  • Dandan Wang, Hao Ding, Yang Yang, Zhenqiang Mi and Zenggang Xiong, “A Feasibility-Enhanced Approach for QoS-Based Web Service Composition in Cloud Environment”, Proceedings of IEEE International Conference on Cloud Computing and Big Data, pp. 67-72, 2015.

  • A. Erdinc Yilmaz and Pinar Karagoz, “Improved Genetic Algorithm based Approach for QoS Aware Web Service Composition”, Proceedings of IEEE International Conference on Web Services, pp. 463-470, 2014.

  • Zaki Brahmi and M.M. Gammoudi, “QoS-Aware Automatic Web Service Composition based on Cooperative Agents”, Proceedings of IEEE Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 27-32, 2013.

  • Zhenpeng Liu, Junbao Li, Jimin Li, Aiguo An and Jianmin Xu, “A Model for Web Services Composition Based on QoS and Providers’ Benefit”, Proceedings of 5th IEEE International Conference on Wireless Communications, Networking and Mobile Computing, pp. 12-18, 2009.

  • Yang Yu, Hui Ma and Mengjie Zhang, “An Adaptive Genetic Programming Approach to QoS-aware Web Services Composition”, Proceedings of IEEE International Conference on Evolutionary Computation, pp. 1740-1747, 2013.

  • Khozema Ali Shabbar, Tarun Shrimali and Mohammed Sha “Computation of QoS While Composing Web Services”, International Journal of Advanced Computer Science and Applications, Vol. 8, No. 3, pp. 309-317, 2017.

  • L. Brozovsky and V. Petricek, “Recommender System for Online Dating Service”, Proceedings of IEEE International Conference on Information Retrieval and Software Engineering, pp. 1-12, 2007.

  • El-Alami Ayoub and Hair Abdellatif, “An Agent Architecture for QoS-based Web Service Composition using the Skyline Algorithm”, International Journal of Informatics and Communication Technology, Vol. 6, No. 3, pp. 179-188, 2017.

  • Samia Sadouki Chibani and Abdelkamel Tari, “Elephant Herding Optimization for Service Selection in QoS-Aware Web Service Composition”, International Journal of Computer and Information Engineering, Vol. 11, No. 10, pp. 1124-1128, 2017.


Abstract Views: 286

PDF Views: 0




  • Implementation of QOS based Innovative Framework for Web Services Selection and Composition

Abstract Views: 286  |  PDF Views: 0

Authors

Khozema Shabbar
Department of Computer Science and Engineering, Career Point University, India
Tarun Shrimali
Department of Computer Science and Information Technology, Janardan Rai Nagar Rajasthan Vidyapeeth, India
Ajay Chaudhary
Department of Psychology, Government Meera Girls College, India

Abstract


Web Services in ample amount lying over the net are found similar in functionality varying in QoS (Quality of Services). Various methods and techniques have been proposed by researchers in order to get the most favoured and best-suited candidate services to be able to become the part of the final outcome which is called composite web service. Quality of Service has emerged as an important tool playing decisive role while selecting best candidate web Services as well as Composite Web Services. Undoubtedly, the technique of web services composition is the key property of service-orientation helps create new as well as advanced level services reusing the existing ones. In a distributed environment, services with no quality guarantees, have adverse impact on the final composition outcome. In their efforts to select the most favoured candidate services to be used for the composition, scholars while proposing new composition techniques relied on either Users’ provided feedbacks or Providers’ provided information. None of them took into account both of the information altogether. In our novel approach, we took into account both of the information (Users’ provided feedbacks and Providers’ provided information) altogether. We have designed an innovative framework incorporating an entity called Information Verification Engine whose job is to take into account both of the information, filtering out malicious feedback ratings and cross verifying both of the information in order to find the most suitable candidate web services. We have implemented this newly added Engine taking into account total of 450 Web Services and applying Statistical Computations using SPSS version 21.0. This has helped achieve a set of 279 web services, purely rated by Unbiased Users. Then We Cross Verified both of the ratings which further reduced no. of Web Services to 83. Experimental results confirmed the efficiency and reliability of our proposed framework. Detailed methodology and its implementation has been presented in the later part of this paper.

Keywords


Web Services Composition, SPSS, Mean, Mode, Median, SD, Skewness.

References