A Data Mart Approach for Monitoring Web Services Usage and Evaluating Quality of Services

Web servers log data constitute an important resource to track users’ activity within a Web site, especially when organized and integrated with other sources of data on the so called clickstream data marts. These data marts support flexible and complex analyses, which are the basis to obtain great understanding of customer behavior and achieve efficient operation of electronic business initiatives. With the proliferation of Web services as a new trend to enterprise application integration and interoperability, it seems natural to use a similar approach to monitor services usage and to evaluate quality of services. This paper presents a data mart proposition generated from Web services log data that can reveal usage patterns on Web services giving a highly improved understanding of behavior and service provider performance.