Visualization of Real-World Web Services Based on Fuzzy Logic

Abstract

This paper investigates techniques for supporting individual users in choosing appropriate Web services according to their specific needs, and accessing their favorite Web services. It also examines the provision of visualization of Web services that can be made available to service consumers as well as service providers who promote their Web services. To achieve these goals, we propose a three-layer architecture: a data layer for handling measurements of quality attribute of Web services; a Web service middleware processing layer, which computes quality attribute weights for ranking Web services; and finally, a visualization layer for monitoring the quality of Web services. The proposed architecture is implemented and tested on real world Web services drawn from the QWS database of Web services. Our Web services visualization technique is more convenient and user-friendly compared to current basic text based Web services discovery techniques.

Towards a Visualization Framework for Service Selection in Cloud E-Marketplaces

“…The overall goal of this study is to simplify cloud service selection, while optimizing user experience and satisfaction in the decision making process [3]. Just like one of the laws of e-commerce states that if users cannot find it, they cannot buy it either; integrating information visualization in the user interface (UI) design of e-marketplace provides the mechanisms for user to, in the shortest possible time and through the easiest means, find a service that meets their requirements.…”

“…This allows the user to immediately understand the impact of trade-off choices when exploring the plethora of services. Users can therefore exploit such information in making satisfactory service selection decision [3]. Moreover, advances in the domain of Information Visualization (IV) employs relevant techniques to reduce human cognitive effort to view, explore, and comprehend large amounts of information at once, by presenting such complex information in intuitive ways [16].…”

“…Information visualization is concerned with the use of visualization methods to assisting users make more sense of data and use large volume or complex dataset with minimal efforts [3,15]. Complex dataset are better communicated using symbolic forms, such as graphical representations, for the purpose of analysis, exploration and discovery [16].…”

“…Complex dataset are better communicated using symbolic forms, such as graphical representations, for the purpose of analysis, exploration and discovery [16]. The overarching goal of information visualization is to communicate information in an interactively graphical or spatial manner to aid understandability [3,16].…”

“…The later, compared to the others, employs techniques that leverages on human's visual processing ability to process elements in a pictorial form faster, and derive greater insight and comprehension than from mere text [2,3].…”