loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Marta Patiño and Ainhoa Azqueta

Affiliation: Laboratorio de Sistemas Distribuidos, E.T.S. Ingenieros Informáticos Universidad Politécnica de Madrid and Spain

Keyword(s): Data Stream Processing, NUMA Aware, Appliances.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.83.89

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Patiño, M. and Azqueta, A. (2019). Data Streaming for Appliances. In Proceedings of the 9th International Conference on Cloud Computing and Services Science - ADITCA; ISBN 978-989-758-365-0; ISSN 2184-5042, SciTePress, pages 672-678. DOI: 10.5220/0007905906720678

@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 - ADITCA},
year={2019},
pages={672-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007905906720678},
isbn={978-989-758-365-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - ADITCA
TI - Data Streaming for Appliances
SN - 978-989-758-365-0
IS - 2184-5042
AU - Patiño, M.
AU - Azqueta, A.
PY - 2019
SP - 672
EP - 678
DO - 10.5220/0007905906720678
PB - SciTePress