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Data streaming for appliances
Citation
Patiño Martinez, Marta 
ORCID: https://orcid.org/0000-0001-6947-4974 and Azqueta Alzúaz, Ainhoa ORCID: https://orcid.org/0000-0002-5451-8900
(2019).
Data streaming for appliances.
In: "9th International Conference on Cloud Computing and Services Science (CLOSER 2019)", 2-4 May 2019, Creta, Grecia. ISBN 978-989-758-365-0. pp. 672-678.
https://doi.org/10.5220/0007905906720678.
Description
| Title: | Data streaming for appliances |
|---|---|
| Author/s: |
|
| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 9th International Conference on Cloud Computing and Services Science (CLOSER 2019) |
| Event Dates: | 2-4 May 2019 |
| Event Location: | Creta, Grecia |
| Title of Book: | ADITCA 2019: Appliances for Data-Intensive and Time Critical Applications I |
| Date: | 2019 |
| ISBN: | 978-989-758-365-0 |
| Volume: | 1 |
| Subjects: | |
| Freetext Keywords: | Data Stream Processing; NUMA aware; Appliances |
| Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
| Department: | Lenguajes y Sistemas Informáticos e Ingeniería del Software |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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.
Funding Projects
Type
Code
Acronym
Leader
Title
Horizon 2020
779747
BigDataStack
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD
High-performance data-centric stack for big data applications and operations
Madrid Regional Government
S2013TIC2894
Cloud4BigData
Unspecified
Unspecified
Madrid Regional Government
S2018/TCS-4499
EDGEDATA-CM
Unspecified
EDGEDATA: una infraestructura para sistemas híbridos altamente descentralizados
Government of Spain
TIN2016-80350
Unspecified
Universidad Politécnica de Madrid
CLOUDDB: una base de datos ultraescalable, eficiente y altamente disponible
Horizon 2020
732051
CloudDBAppliance
BULL SAS
European cloud in-memory database appliance with predictable performance for critical applications
More information
| Item ID: | 56633 |
|---|---|
| DC Identifier: | https://oa.upm.es/56633/ |
| OAI Identifier: | oai:oa.upm.es:56633 |
| DOI: | 10.5220/0007905906720678 |
| Official URL: | http://www.scitepress.org/DigitalLibrary/Link.aspx... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 23 Oct 2019 07:52 |
| Last Modified: | 30 Nov 2022 09:00 |
