Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions

Abstract

Abstract. In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of the network infrastructure, but also on the content side. While the term big data refers to the increase of the available data, this implicitly means that we must deal with problems at larger scale and thus hints at scalability issues in the analysis process of such data sets. Visual Analytics is an enabling technology, that offers new ways of extracting information from big data through intelligent, interactive internet and security solutions. It derives its effectiveness both from scalable analysis algorithms, that allow processing of large data sets, and from scalable visualizations. These visualizations take advantage of human background knowledge and pattern detection capabilities to find yet unknown patterns, to detect trends and to relate these findings to a holistic view on the problems. Besides discussing the origins of Visual Analytics, this paper presents concrete examples of how the two facets of content and infrastructure of the Future Internet can benefit from Visual Analytics. In conclusion, it is the confluence of both technologies that will open up new opportunities for businesses, e-governance and the public.

An Incremental Approach for Real-Time Big Data Visual Analytics

“…Big datasets are ubiquitous in many domains, such as finance, discrete manufacturing, monitoring, internet, telecommunication, biology or even sports [6]. It is not uncommon that millions of readings from highfrequency sensors are subsequently stored in relational database management systems (RDBMS), to be later accessed using visual data analysis tools.…”

“…It is not uncommon that millions of readings from highfrequency sensors are subsequently stored in relational database management systems (RDBMS), to be later accessed using visual data analysis tools. Modern data analysis tools must support a fluent and flexible use of visualizations and still be able to squeeze a billion records into a million pixels [6]. In this regard, one challenge for the scientific community is the development of compact data structures that support algorithms for rapid data filtering, aggregation, and display rendering.…”

Energy monitoring as an essential building block towards sustainable ultrascale systems

“…2. Interactive graphical interfaces: Visualisation tools that can deal with large quantities of data, while considering their quality and presentation to facilitate navigation, are increasingly important [42]. The type of visualisation may have to be adjusted dynamically according to the amount of data to be displayed to improve both displaying and performance.…”