Publication detail

Comparison of Platforms For High Frequency Data Processing

ZÁMEČNÍKOVÁ, E. KRESLÍKOVÁ, J.

Original Title

Comparison of Platforms For High Frequency Data Processing

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

ZÁMEČNÍKOVÁ, E.; KRESLÍKOVÁ, J.

RIV year

2015

Released

8. 1. 2016

Publisher

The University of Technology Košice

Location

Poprad, SK

ISBN

978-1-4673-9868-8

Book

2015 IEEE 13th International Scientific Conference on Informatics

Pages from

296

Pages to

301

Pages count

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/"
}