An Enhanced Approach For Web Services Clustering Using Supervised Machine Learning Techniques

Conduct a critique of the following service management ideas, theories and techniques, specifically with reference to purpose, application and limitations and with regard to how these service management ideas, theories and techniques might contribute to the development of a business.

As a modular, self-describing type of software service, Web services are self-contained applications that can be:

The proposed system of service descriptions allow the automatic composition of web services to achieve main goals. Automatic

This algorithm is based on the nature of honey bees of finding and reaping food. The forager bees is a class of bees which forage for food sources and on finding one, they come back to the beehive to tell about this using waggle dance. This dance gives an idea about the quality or quantity of food and also its distance from the beehive. Scout bees then follow the forager bees to the location and then began to reap the food. Then they return to the beehive and do a waggle dance, which gives an idea of how much food is left resulting in further exploitation of the food sources. In load balancing ,as the demand for webservers changes(increases or decreases), dynamically the services are assigned to regulate the changing demands .

 Interface: functionality of the service exposed by the service to the clients that are

Web services are software systems which are designed to support data transfer and exchange of information over a network. Web services use various open standards like TCP, IP, HTML, and Java. Ever increasing demand for higher data transfer rates requires systems which can handle large volume of data. The data should not be vulnerable to attack from hackers else many business organizations will go red (i.e. in loss).

Web service is a communication between two electronic device.it provides network address over the web. web service is also called as utility computing.

Web Services describe an area of computing which define the method of communication used by machines to interact with each other over the internet. A web service is a method for applications that are written in contrasting languages to be able to transfer data between one another without any problems. Two kinds of Web Services are SOAP (Simple Object Access Protocol) and REST (Representational State Transfer).

Abstract—The revolution of cloud computing in IT industries enable the access of their infrastructure and application services on a subscription basis. As a result, several enterprises like IBM, Microsoft, Google, and Amazon have started to offer different cloud services to their customers. Due to the vast diversity in the available cloud services, from the customer’s point of view, it is difficult for them to decide whose services they should use and what is the basis for their selection. Currently, there is no ontology based system that can allow customers to evaluate cloud offerings and rank them based on their ability to meet the user’s Quality of Service (QoS) requirements. For that our ontology based cloud service providers ranking system is used. We designed this system as three modules, they are (i) processing of functional requirements (ii) processing of non-functional requirements and (iii) ranking of service providers which make the work simple. The ontology based system have information with explicit meaning, making it easier to automatically process and integrate information available for comparison, selection and ranking of cloud service providers using Analytic Hierarchy Process (AHP) to prioritizes the cloud services which make a significant impact and will create healthy competition among cloud providers to satisfy their Service Level Agreement (SLA) and improve their Quality of Services (QoS).

Abstract— The rising popularity of cloud computing makes building high quality cloud applications a critical and urgently required research problem. QoS rankings provide valuable information for making optimal cloud service selection from a set of functionally equivalent service candidates. To obtain QoS values, real-world invocations on the service candidates are usually required. The existing system focuses on QoS ranking prediction for cloud services by taking advantage of the past service usage experiences of other consumers. This framework requires no additional invocations of cloud services when making QoS ranking prediction. Two personalized QoS ranking prediction approaches are proposed to predict the QoS rankings directly. The Proposed system is designed to improve the ranking accuracy of the approaches by exploiting additional techniques. When a user has multiple invocations of a cloud service at different time, the proposed will explore selection ranking prediction approaches for cloud services by employing information of service users and cloud services. Selection ranking prediction approach provides reliable service to the user.

Previous work on service dependency detection include many different approaches. In order to compare the previous work, we first introduce some desirable effectiveness criteria for a dependency detection approach. Later, we use these criteria for reviewing and classifying the previous work.

It has been difficult for Belk to bridge the gap between the digital online and in-store customer experience. The best service that offers in Belk is if customers can return items purchased within 180 days of purchase with the original Order Summary, the customer service will refund the full purchase price to the customer’s original form of payment. However, for returns without a merchandise receipt or after 180 days from purchase, customer service will refund the lowest sale price offered in the last 30 days, credited to customer’s Belk Charge or a Belk Gift Card. But on the contrary, Belk online web site offers many services that consider unique and helpful. They provide free shipping orders, next day delivery, tracking an order and write and read product reviews. Belk provides excellent online service but not in store service.

Web is a collection of inter-related files on one or more web servers while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. The web data includes web pages, web links, objects on the web and web logs. Web mining is used to understand the customer behaviour, evaluate a particular website based on the information which is stored in web log files. Web mining is evaluated by using data mining techniques, namely classification, clustering, and association rules. It has some beneficial areas or applications such as

The use of Web services for various applications has led to the growth of web services on a large scale. Due to the increase in usage of web services, it has become of prime importance to design systems for effective web service recommendation.

The use of Web services for various applications has led to the growth of web services on a large scale. Due to the increase in usage of web services, it has become of prime importance to design systems for effective web service recommendation.