Selection of Web Services using Service Agent: An optimized way for the selection of Non-functional requirements

Web Services provide a promising results and solution according to the needs and requirements with fast & flexible manners for information sharing among different peoples and businesses. The major key issue in research in Web Services is the selection process which is most difficult & cumbersome because the increasing numbers of services that can not meet or fulfill all the non- functional requirements like performance, efficiency, reliability sensitivity etc. moreover for web services selection for Library System, the author suggests a model to select the searching material only related to books in hard copy form, softcopy form, read only and printable from. The Author suggests an agent for the selection of these books from the web. When any body else who wants to search a specific book from the web, then this service agent will show all the web sites where books will be available.  The agent generates a list of books with their all user's needs and Non-functional requirements. On the basis of these non-functional requirements the user can pick the book according to the document provided by service agent. Keywords: Service Agent, Non-functional requirement, Web service

Service Composition Scenarios in the Internet of Things Paradigm

Part 3: Service OrientationInternational audienceIn this work the topic of service composition scenarios is introduced and discussed with the use of leading example of service composition in the transport domain. The example is used to visualize the connection to the Internet of Things paradigm. The service composition itself is defined with a holistic approach, describing all steps of the proposed composition process like: requirements definition, requirements decomposition or aggregation using domain ontology, composite service structure construction, service discovery, structure and service plan optimization. Lastly, implementation of service composition with service composition scenarios is discussed

Big Data Clustering Algorithm and Strategies

In current digital era extensive volume ofdata is being generated at an enormous rate. The data are large, complex and information rich. In order to obtain valuable insights from the massive volume and variety of data, efficient and effective tools are needed. Clustering algorithms have emerged as a machine learning tool to accurately analyze such massive volume of data. Clustering is an unsupervised learning technique which groups data objects in such a way that objects in the same group are more similar as much as possible and data objects in different groups are dissimilar. But, traditional algorithm cannot cope up with huge amount of data. Therefore efficient clustering algorithms are needed to analyze such a big data within a reasonable time. In this paper we have discussed some theoretical overview and comparison of various clustering techniques used for analyzing big data

Web Service Composition with Uncertain Non-functional Parameters

Part 3: Service OrientationInternational audienceThe problem of service composition is of key importance in the Internet of Things paradigm. A composite Web Service can clearly determine how real life objects described as Web Services could interact with each other. This article proposes a non-functional parameters aggregation algorithm, used in composite service plan optimisation stage, taking into account the uncertainty of the nonfunctional parameters. Also, an optimisation algorithm, using the proposed aggregation method, is presented to show the complete solution for the problem. In this proposition, the algorithm focuses on composite service plan optimisation with uncertain parameters with the given uncertainty description on example of uncertainty parameter. However, the proposed algorithm can be generalized, so it can be used also with other uncertain parameter

A novel composite web service selection based on quality of service

Using the internet, as a dynamic environment thanks to its distributed characteristic, for web service deployment has become a crucial issue in QoS-driven service composition. An accurate adaption should be undertaken to provide a reliable service composition which enables the composited services are being executed appropriately. That is, the critical aspect of service composition is the proper execution of combination of web services while the appropriate service adaption performed with respect to predetermined functional and non-functional characteristics. In this paper, we attempts to deliberate the optimization approaches to devise the appropriate scheme for QoS-based composite web service selection

CONCEPTUAL EXTENSION OF WEB SERVICES FUNCTIONAL DESCRIPTION

The paper deals with conceptual extension of Web services functional description in enterprise computer-based information systems. The following research is presented: three-level model of the request submission to Web services on a users’ namespace of computer-based information systems, namespace of formal operations and namespace of real Web services operations. The scope of developing research is optimization of relational database query execution plan, which is named as Web services execution plan. The main results of the work are: conceptual extension of Web services functional description; threelevel model of request submission to Web services