Performance Measurement of Complex Event Platforms
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121681" target="_blank" >RIV/00216305:26230/16:PU121681 - isvavai.cz</a>
Výsledek na webu
<a href="https://jios.foi.hr/index.php/jios/article/view/1055/762" target="_blank" >https://jios.foi.hr/index.php/jios/article/view/1055/762</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Performance Measurement of Complex Event Platforms
Popis výsledku v původním jazyce
The aim of this paper is to find and compare existing solutions of complex event processing platforms (CEP). CEP platforms generally serve for processing and/or predicting of high frequency data. We intend to use CEP platform for processing of complex time series and integrate a solution for newly proposed method of decision making. The decision making process will be described by formal grammar. As there are lots of CEP 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 and open license. 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. Next part is devoted to benchmark platforms for CEP. Final part is devoted to experimental measurements of platform with integrated method for decision support.
Název v anglickém jazyce
Performance Measurement of Complex Event Platforms
Popis výsledku anglicky
The aim of this paper is to find and compare existing solutions of complex event processing platforms (CEP). CEP platforms generally serve for processing and/or predicting of high frequency data. We intend to use CEP platform for processing of complex time series and integrate a solution for newly proposed method of decision making. The decision making process will be described by formal grammar. As there are lots of CEP 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 and open license. 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. Next part is devoted to benchmark platforms for CEP. Final part is devoted to experimental measurements of platform with integrated method for decision support.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Information and Organizational Sciences
ISSN
1846-3312
e-ISSN
1846-9418
Svazek periodika
40
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
HR - Chorvatská republika
Počet stran výsledku
18
Strana od-do
237-254
Kód UT WoS článku
000409241800006
EID výsledku v databázi Scopus
2-s2.0-85005992294