Scalable and Interactive Real-Time Visualization of Time Series Data

Koch, Tim (2020) Scalable and Interactive Real-Time Visualization of Time Series Data (Bachelor thesis), Kiel University, Kiel, 59 pp

[img]
Preview
Text
bsc_tim_koch_thesis.pdf

Download (858Kb) | Preview

Abstract

Time series data is everywhere. Everything that can be measured can be measured over
time, which forms the definition of time series data. Visualization helps in perceiving this
data by reducing the cognitive load. Interaction with the data can lead to an even better
experience for users.
This thesis evaluates an approach of an interactive and scalable visualization of time
series data. The approach consists of enhancing an existing visualization library and adding
new features to meet the requirements. The library already supports real-time visualization
and the postulated support for user interactions. To enable its scalability, a cache to reduce
bandwidth load is integrated. Moreover, prefetching algorithms increase the performance
of the solution.
After introducing the approach, this thesis also describes its integration into an existing
web application. On this integration a feasibility and performance evaluation is conducted,
which shows its advantages over the current version of the web application. Additionally,
it proves the support for interactions like panning and zooming in the chart, as well as
a real-time functionality. Moreover, the presented solution is scalable and does not show
performance weaknesses in our test scenarios.

Document Type: Thesis (Bachelor thesis)
Thesis Advisors: Hasselbring, Wilhelm and Henning, Sören
Keywords: Time Series, Visualization, Industrial DevOps
Research affiliation: Kiel University > Software Engineering
Kiel University
Projects: TITAN
Date Deposited: 19 Oct 2020 15:18
Last Modified: 19 Oct 2020 15:18
URI: http://eprints.uni-kiel.de/id/eprint/50728

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...