Fault-tolerance evaluation of a New SQL Database

Azqueta Alzúaz, Ainhoa and Patiño Martínez, Marta and Vianello, Valerio (2018). Fault-tolerance evaluation of a New SQL Database. In: "14th European Dependable Computing Conference (EDCC 2018)", 10-14 Sep 2018, Iasi, Romania. ISBN 978-1-5386-8060-5. pp. 81-86. https://doi.org/10.1109/EDCC.2018.00023.


Title: Fault-tolerance evaluation of a New SQL Database
  • Azqueta Alzúaz, Ainhoa
  • Patiño Martínez, Marta
  • Vianello, Valerio
Item Type: Presentation at Congress or Conference (Article)
Event Title: 14th European Dependable Computing Conference (EDCC 2018)
Event Dates: 10-14 Sep 2018
Event Location: Iasi, Romania
Title of Book: EDCC 2018: 14th European Dependable Computing Conference
Date: 2018
ISBN: 978-1-5386-8060-5
Freetext Keywords: NewSQL; Fault-tolerance; HBase
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

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The need of systems able to deal with large amounts of data is increasing in the big data era. These systems run on top of a distributed system where failures will happen. In the last decade a large number of data stores have been developed for providing scalability. These systems avoid some of the properties traditional relational databases provided in order to achieve scalability producing a variety of data stores known as NoSQL data stores. In the last years, NewSQL systems have been developed in order to meet the best of both worlds: transactional processing and SQL language and scalability. In this paper we present a practical experience on how failures affect the regular operation of a scalable fault-tolerant relational database (NewSQL), CumuloNimbo. The paper evaluates the performance of CumuloNimbo using the TPC-C benchmark varying the number of nodes where the database runs under different failure scenarios.

Funding Projects

Horizon 2020732051CloudDBApplianceBULL SASEuropean cloud in-memory database appliance with predictable performance for critical applications
Horizon 2020727560CrowdHEALTHATOS SPAIN SACollective wisdom driving public health policies
Horizon 2020779747BigDataStackIBM ISRAEL - SCIENCE AND TECHNOLOGY LTDHigh-performance data-centric stack for big data applications and operations
Madrid Regional GovernmentS2013TIC2894Cloud4BigDataUnspecifiedUnspecified
Government of SpainTIN2016-80350UnspecifiedUniversidad Politécnica de MadridCLOUDDB: una base de datos ultraescalable, eficiente y altamente disponible

More information

Item ID: 56630
DC Identifier: https://oa.upm.es/56630/
OAI Identifier: oai:oa.upm.es:56630
DOI: 10.1109/EDCC.2018.00023
Official URL: https://ieeexplore.ieee.org/document/8530764
Deposited by: Memoria Investigacion
Deposited on: 23 Oct 2019 11:10
Last Modified: 23 Oct 2019 11:10
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