IVIS: Highly customizable framework for visualization and processing of IoT data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10422601" target="_blank" >RIV/00216208:11320/20:10422601 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/SEAA51224.2020.00095" target="_blank" >https://doi.org/10.1109/SEAA51224.2020.00095</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SEAA51224.2020.00095" target="_blank" >10.1109/SEAA51224.2020.00095</a>

Jazyk výsledku

angličtina

Název v původním jazyce

IVIS: Highly customizable framework for visualization and processing of IoT data

Popis výsledku v původním jazyce

This tool paper presents the IVIS platform for processing and visualizing IoT and CPS data. The platform provides a web-based interface that allows both definition of complex visualizations and data processing jobs as well as exploring the data. Compared to the existing open-source and commercial offerings, IVIS follows a different model and focuses on flexibility. Instead of providing a complex administrative UI for creating visualizations by dragging and dropping components onto a dashboard, IVIS provides a set of JavaScript-based visualization components that are glued together using simple JavaScript code. Similarly, the data processing jobs can be defined using code in scripting languages, such as Python, which allows exploiting the wealth of existing libraries for numerical processing. This not only makes the definition of visualizations and data processing jobs much more expressive, but it also turns out to be significantly easier to use when building complex parametric visualizations- especially when they need to deal with many sensors. This proved to be crucial in deploying IVIS in a number of international research projects, because it enabled us to rapidly setup complex visualizations and data-processing tasks, catering to project- and partner-specific requirements.

Název v anglickém jazyce

IVIS: Highly customizable framework for visualization and processing of IoT data

Popis výsledku anglicky

This tool paper presents the IVIS platform for processing and visualizing IoT and CPS data. The platform provides a web-based interface that allows both definition of complex visualizations and data processing jobs as well as exploring the data. Compared to the existing open-source and commercial offerings, IVIS follows a different model and focuses on flexibility. Instead of providing a complex administrative UI for creating visualizations by dragging and dropping components onto a dashboard, IVIS provides a set of JavaScript-based visualization components that are glued together using simple JavaScript code. Similarly, the data processing jobs can be defined using code in scripting languages, such as Python, which allows exploiting the wealth of existing libraries for numerical processing. This not only makes the definition of visualizations and data processing jobs much more expressive, but it also turns out to be significantly easier to use when building complex parametric visualizations- especially when they need to deal with many sensors. This proved to be crucial in deploying IVIS in a number of international research projects, because it enabled us to rapidly setup complex visualizations and data-processing tasks, catering to project- and partner-specific requirements.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2020)

ISBN

978-1-72819-532-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

585-588

Název nakladatele

IEEE

Místo vydání

USA

Místo konání akce

Portorož, Slovenia

Datum konání akce

26. 8. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—