Test Data Compression Using Efficient Bitmask and Dictionary Selection Methods
Web 2.0 has been growing at a rapid pace empowering end-users with a vast set of applications dedicated to improve their experience while using the Web. This improvement comes in the shape of increased personalization that enables the end-users to navigate and search the Web based on their own needs. One of the key icons of Web 2.0 applications is mashups; they are essentially Web services that are often created by end-users. They aggregate and manipulate data from sources around the World Wide Web. Surprisingly, research related to mashups performance received little attention in research community.