Data Streaming for Appliances

Marta Patiño, Ainhoa Azqueta

2019

Abstract

Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where the cost of accessing memory from a core depends on how CPUs are interconnected. This paper presents UPM-CEP, a data streaming engine designed to take advantage of NUMA architectures. The preliminary evaluation using Intel HiBench benchmark shows that NUMA aware deployment improves performance.

Paper Citation

in Harvard Style

Patiño M. and Azqueta A. (2019). Data Streaming for Appliances.In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA, ISBN 978-989-758-365-0, pages 672-678. DOI: 10.5220/0007905906720678

in Bibtex Style

@conference{aditca19,
author={Marta Patiño and Ainhoa Azqueta},
title={Data Streaming for Appliances},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA,},
year={2019},
pages={672-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007905906720678},
isbn={978-989-758-365-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA,
TI - Data Streaming for Appliances
SN - 978-989-758-365-0
AU - Patiño M.
AU - Azqueta A.
PY - 2019
SP - 672
EP - 678
DO - 10.5220/0007905906720678