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Shrimali, Tarun
- An Innovative Framework for Auto Dynamic Selection and Composition of Web Services
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Authors
Affiliations
1 Department of Computer Science and Engineering, School of Engineering and Technology, Career Point University, IN
2 Sunrise Group of Institutions, IN
3 Department of Computer Science, Prince Sattam Bin Abdulaziz University, SA
1 Department of Computer Science and Engineering, School of Engineering and Technology, Career Point University, IN
2 Sunrise Group of Institutions, IN
3 Department of Computer Science, Prince Sattam Bin Abdulaziz University, SA
Source
ICTACT Journal on Soft Computing, Vol 8, No 2 (2018), Pagination: 1641-1647Abstract
With the availability of ample amount of Web Services similar in functionality and varying in Quality of Service (QoS) over the web, it is essentially required to get the best-suited candidate services for the resultant composite service. QoS plays a decisive role in selecting web Services individually and Composite Web Service as a whole. Certainly, composition is one of the key properties of service-orientation to create new as well as advanced level services, by re-using the existing ones. In distributed environments, services having no quality guarantees, adversely affects the composition outcome. To find the best candidate services for the composition, researchers have opted either Users’ feedback or Providers’ published information but none of them have considered both of them together. In our approach, we have taken into consideration both the things (Users’ feedback and Providers’ published information) together in order to find the best candidate web services by cross verifying both of the information to ascertain the quality of the candidate web services. An innovative framework for the composition of web services along with the detailed methodology and algorithm has been discussed in the second half of the paper.Keywords
Web Services Composition, Web Services Selection, Web Services, Users’ Feedback, Providers’ Published Information.
References
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- 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.
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- Implementation of QOS based Innovative Framework for Web Services Selection and Composition
Abstract Views :204 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Career Point University, IN
2 Department of Computer Science and Information Technology, Janardan Rai Nagar Rajasthan Vidyapeeth, IN
3 Department of Psychology, Government Meera Girls College, IN
1 Department of Computer Science and Engineering, Career Point University, IN
2 Department of Computer Science and Information Technology, Janardan Rai Nagar Rajasthan Vidyapeeth, IN
3 Department of Psychology, Government Meera Girls College, IN
Source
ICTACT Journal on Soft Computing, Vol 9, No 3 (2019), Pagination: 1932-1938Abstract
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
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