IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments
Marco Xaver Bornschlegl, Kevin Berwind, Michael Kaufmann, Felix Engel, Paul M Walsh, Matthias Hemmje, Rubén Riestra · Lecture notes in computer science · 2016
This paper introduces an approach to develop an up-to-date reference model that can support advanced visual user interfaces for distributed Big Data Analysis in virtual labs to be used in e-Science, industrial research, and Data Science education. The paper introduces and motivates the current situation in this application area as a basis for a corresponding problem statement that is utilized to derive goals and objectives of the approach. Furthermore, the relevant state-of-the-art is revisited and remaining challenges are identified. An exemplar set of use cases, corresponding user stereotypes as well as a conceptual design model to address these challenges are introduced. A corresponding architectural system model is suggested as a conceptual reference architecture to support proof-of-concept implementations as well as to support interoperability in distributed infrastructures. Conclusions and an outlook on future work complete the paper.