Comparison of Platforms For High Frequency Data Processing
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117041" target="_blank" >RIV/00216305:26230/15:PU117041 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.fit.vut.cz/research/publication/10964/" target="_blank" >https://www.fit.vut.cz/research/publication/10964/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/Informatics.2015.7377850" target="_blank" >10.1109/Informatics.2015.7377850</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Comparison of Platforms For High Frequency Data Processing
Popis výsledku v původním jazyce
The aim of this article is to find and compare existing solutions of complex event processing platform (CEP). We intend to use CEP platform for prediction of complex time series and integrate a solution for newly proposed method of decision making. As there are lots of solutions we will take the following characteristics under consideration - the processing in real time, possibility of processing of high volume data from multiple sources, platform independence, platform allowing integration with user solution. At first we will talk about existing CEP tools and their specific way of use in praxis. Then we will mention the design of method for formalization of business rules used for decision making. Afterwards, we focus on two platforms which seem to be the best fit for integration of our solution and we will list the main pros and cons of each approach. Final part is devoted to benchmark platforms for CEP.
Název v anglickém jazyce
Comparison of Platforms For High Frequency Data Processing
Popis výsledku anglicky
The aim of this article is to find and compare existing solutions of complex event processing platform (CEP). We intend to use CEP platform for prediction of complex time series and integrate a solution for newly proposed method of decision making. As there are lots of solutions we will take the following characteristics under consideration - the processing in real time, possibility of processing of high volume data from multiple sources, platform independence, platform allowing integration with user solution. At first we will talk about existing CEP tools and their specific way of use in praxis. Then we will mention the design of method for formalization of business rules used for decision making. Afterwards, we focus on two platforms which seem to be the best fit for integration of our solution and we will list the main pros and cons of each approach. Final part is devoted to benchmark platforms for CEP.
Klasifikace
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)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2015 IEEE 13th International Scientific Conference on Informatics
ISBN
978-1-4673-9867-1
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
296-301
Název nakladatele
The University of Technology Košice
Místo vydání
Poprad, SK
Místo konání akce
Poprad
Datum konání akce
18. 11. 2015
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
000380535000053