Detail publikace

Comparison of Platforms For High Frequency Data Processing

ZÁMEČNÍKOVÁ, E. KRESLÍKOVÁ, J.

Originální název

Comparison of Platforms For High Frequency Data Processing

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

CEP, high frequency data, decision making, StreamBase, Esper, benchmarking.

Autoři

ZÁMEČNÍKOVÁ, E.; KRESLÍKOVÁ, J.

Rok RIV

2015

Vydáno

8. 1. 2016

Nakladatel

The University of Technology Košice

Místo

Poprad, SK

ISBN

978-1-4673-9868-8

Kniha

2015 IEEE 13th International Scientific Conference on Informatics

Strany od

296

Strany do

301

Strany počet

6

URL

https://www.fit.vut.cz/research/publication/10964/

BibTex

@inproceedings{BUT119898,
  author="Eva {Zámečníková} and Jitka {Kreslíková}",
  title="Comparison of Platforms For High Frequency Data Processing",
  booktitle="2015 IEEE 13th International Scientific Conference on Informatics",
  year="2016",
  pages="296--301",
  publisher="The University of Technology Košice",
  address="Poprad, SK",
  doi="10.1109/Informatics.2015.7377850",
  isbn="978-1-4673-9868-8",
  url="https://www.fit.vut.cz/research/publication/10964/"
}