Aspect oriented context-aware and event-driven data processing for internet of things
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Aspect oriented context-aware and event-driven data processing for internet of things
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceeding RACS '18 Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems
ISBN
978-1-4503-5885-9
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
319-323
Publisher name
ACM
Place of publication
New York
Event location
Honolulu
Event date
Oct 9, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—