Browsing by Author "Vengattaraman, T."

Now showing 1 - 4 of 4
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    Appraisal and Analysis on Diversified Web Service Selection Techniques based on QoS Factors
    (International Journal of Engineering and Technology (IJET), 2013) Balaji, N.; Sambasivam, G.; Murugaiyan, S.R.; Saleem Basha, M.S.; Vengattaraman, T.; Dhavachelvan, P.
    Numerous monumental changes have been made in the existing web service selection to provide quality of services. The quality of service is a major bottle neck in the recent development. Hitherto various QoS based Web Service Selection Techniques exist. But these techniques lacks in functional and non-functional attributes. This paper consists with the following tasks; segregate various QoS based Web Service selection techniques with their respective merits and demerits, an extensive comparative study on different QoS aware service selection techniques with respect to the user requirements and multiple QoS properties and preferences. This paper also evaluates the performance of discussed techniques based on the strength of various QoS aware Web service selection functionalities using a set of evaluation metrics.
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    Appraisal and analysis on various web service composition approaches based on QoS factors
    (Journal of King Saud University-Computer and Information Sciences, 2014) Rajeswari, M.; Sambasivam, G.; Balaji, N.; Saleem Basha, M.S.; Vengattaraman, T.; Dhavachelvan, P.
    Web services are the internet enabled applications for performing business needs, considered as the platform-independent and loosely coupled. Web service compositions build new services by organizing a set of existing services by providing reusability and interoperability. The research problem in web service composition is to obtain best effective services with the composition of services based on maximum quality of services (QoS) and satisfy the user’s requirements. This study reveals various challenges in the QoS parameter for Web service composition because it is difficult to recognize. We have illustrated the related technology by analyzing QoS parameters based on existing algorithms with composition patterns and compared the results.
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    A Normalized Approach for Service Discovery
    (Procedia Computer Science, 2015) Sambasivam, G.; Ravisankar, V.; Vengattaraman, T.; Baskaran, R.; Dhavachelvan, P.
    In today’s world web services are the known perception to all the users who uses the internet. The Web Service process involves service discovery, selection and ranking. Discovery is the process of matchmaking of user query with advertisements in the repository. Our motivation is to develop a model for web service discovery with the combined approach of service selection and ranking. In this paper, we have proposed a technique for web service discovery process, combining the keyword search and semantic search and ranking the services. The implementation results show that the proposed model performs better for the web service discovery process.
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    An QoS based multifaceted matchmaking framework for web services discovery
    (Future Computing and Informatics Journal, 2018) Sambasivam, G.; Amudhavel, J.; Vengattaraman, T.; Dhavachelvan, P.
    With the increasing demand, the web service has been the prominent technology for providing good solutions to the interoperability of different kind of systems. Web service supports mainly interoperability properties as it is the major usage of this promising technology. Although several technologies had been evolved before web service technology and this has more advantage of other technologies. This paper has concentrated mainly on the Multifaceted Matchmaking framework for Web Services Discovery using Quality of Services parameters. Traditionally web services have been discovered only with the functional properties like input, output, precondition and effect. Nowadays there is an increase in number of service providers leads to increase in the web services with same functionality. So user need to discover the best services so Quality of Service factors has been evolved. The traditional discovery supports only few quality parameters and so the discovery is easy in retrieval of services. As the parameter increases the matchmaking will be complex during service discovery. So in this proposed work, we have identified 21 QoS parameters which are suitable for service discovery. The information retrieval techniques are used to evaluate the results and results show that the proposed framework is better.