Data Locality Aware Fast and Secured Retrieval Of Web Services Using Secure Service Discovery System In Hadoop
Akila Rani, D. Sorna Shanthi · Transylvanian Review · 2016
objective of the work: Nowadays, web service discovery (WSD) play vital role in Service Oriented Computing. Performance of traditional web service discovery approaches does not offer relevant service based on given user query due to lack of quality of service satisfaction. And also traditional web services discovery system cannot handle large volume of web service to find the relevant web service. To carry all those complications and also focuses on discovering potentially value added web services, novel architecture is proposed in this work namely SSDH (Secure Service Discovery using Hadoop). This proposed framework concentrates on performing better web service discovery with the satisfaction of user constraints level. In addition to that, proposed work also concentration of automatic web service decomposition which will select the web services that can be composed together. To achieve the higher user satisfaction level, this work utilizes the hadoop environment that can process large volume of web services, so that user required web services can be attained. The execution time and bandwidth is reduced considerably in the proposed frame work by performing the data locality aware scheduling in the map reduce concept.Twig tree and similarity measure measurement concepts are integrated in this work to retrieve accurate result with more accuracy and less time complexity and also for providing security XML based encryption algorithm is used. The experimental test conducted were proves that the results are contrast with previous system. From that result we prove this paper achieves coherent result.