Aspect oriented context-aware and event-driven data processing for internet of things

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00326215" target="_blank" >RIV/68407700:21230/18:00326215 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/citation.cfm?id=3264761" target="_blank" >https://dl.acm.org/citation.cfm?id=3264761</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3264746.3264761" target="_blank" >10.1145/3264746.3264761</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Aspect oriented context-aware and event-driven data processing for internet of things

Popis výsledku v původním jazyce

The Internet of Things is currently getting significant interest from the scientific community. Academia and industry are both focused on moving ahead in attempts to put Internet of Things in practical use. Sensors and other devices in the Internet of Things networks generate tremendous amounts of data. Most of the times those data carry some contextual information and thus could be used for context-aware application. However, handling the vast amount of data becomes increasingly demanding task. In this article we propose event-driven solution for context-aware applications. In our method events are generated by Internet of Things devices and further propagated to subscribed actions. It support event filtering based on the data the event carries with him, like temperature or location. We demonstrate feasibility of our solution and compare it with traditional approach.

Název v anglickém jazyce

Aspect oriented context-aware and event-driven data processing for internet of things

Popis výsledku anglicky

The Internet of Things is currently getting significant interest from the scientific community. Academia and industry are both focused on moving ahead in attempts to put Internet of Things in practical use. Sensors and other devices in the Internet of Things networks generate tremendous amounts of data. Most of the times those data carry some contextual information and thus could be used for context-aware application. However, handling the vast amount of data becomes increasingly demanding task. In this article we propose event-driven solution for context-aware applications. In our method events are generated by Internet of Things devices and further propagated to subscribed actions. It support event filtering based on the data the event carries with him, like temperature or location. We demonstrate feasibility of our solution and compare it with traditional approach.

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

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceeding RACS '18 Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems

ISBN

978-1-4503-5885-9

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

319-323

Název nakladatele

ACM

Místo vydání

New York

Místo konání akce

Honolulu

Datum konání akce

9. 10. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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