Browsing by Author "Saleem Basha, M.S."
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Item 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.Item 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.