A SPARQL benchmark for distributed databases in IoT environments.

Benjamin Warnke; Johann Mantler; Sven Groppe; Yuri Cotrado Sehgelmeble; Stefan Fischer

doi:10.1145/3530050.3532929

A SPARQL benchmark for distributed databases in IoT environments.

Benjamin Warnke, Johann Mantler, Sven Groppe, Yuri Cotrado Sehgelmeble, Stefan Fischer

Abstract

Data transmission is one of the biggest energy consumers in low power networks. So, any application running in such environment must reduce the volume of communication caused by its presence. We want to deploy our database on a wireless sensor network. Therefore, we want to gain insights into the interoperability between routing and application in order to reduce communication costs. To do this, we propose our new benchmark framework in this contribution. Using this benchmark framework, we compare state-of-the-art database indexes and how much traffic they cause in a fully distributed environment. We believe that computing speed shouldn't be the only metric to compare databases with each other. If the database uses fewer resources, the actual application has more resources available.

Originalsprache	Englisch
Titel	BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments
Seitenumfang	6
Erscheinungsort	NY, USA
Herausgeber (Verlag)	Association for Computing Machinery
Erscheinungsdatum	12.06.2022
Seiten	5:1-5:6
ISBN (Print)	9781450393461
DOIs	https://doi.org/10.1145/3530050.3532929
Publikationsstatus	Veröffentlicht - 12.06.2022
Veranstaltung	BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments (ACM SIGMOD PODS 2022) - Philadelphia, USA / Vereinigte Staaten Dauer: 12.06.2022 → 17.06.2022 https://2022.sigmod.org/

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Querschnittsbereich: Intelligente Systeme

DFG-Fachsystematik

4.43-03 Sicherheit und Verlässlichkeit, Betriebs-, Kommunikations- und verteilte Systeme

UN SDGs

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Dokumente

10.1145/3530050.3532929

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https://www.mendeley.com/catalogue/bd5bfb13-ea3f-30ce-bbc6-edb2129732a6/

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title = "A SPARQL benchmark for distributed databases in IoT environments.",

abstract = "Data transmission is one of the biggest energy consumers in low power networks. So, any application running in such environment must reduce the volume of communication caused by its presence. We want to deploy our database on a wireless sensor network. Therefore, we want to gain insights into the interoperability between routing and application in order to reduce communication costs. To do this, we propose our new benchmark framework in this contribution. Using this benchmark framework, we compare state-of-the-art database indexes and how much traffic they cause in a fully distributed environment. We believe that computing speed shouldn't be the only metric to compare databases with each other. If the database uses fewer resources, the actual application has more resources available.",

author = "Benjamin Warnke and Johann Mantler and Sven Groppe and Sehgelmeble, {Yuri Cotrado} and Stefan Fischer",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments (ACM SIGMOD PODS 2022) ; Conference date: 12-06-2022 Through 17-06-2022",

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}

Warnke, B, Mantler, J, Groppe, S, Sehgelmeble, YC & Fischer, S 2022, A SPARQL benchmark for distributed databases in IoT environments. in BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments. Association for Computing Machinery, NY, USA, S. 5:1-5:6, BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments (ACM SIGMOD PODS 2022), Philadelphia, Pennsylvania, USA / Vereinigte Staaten, 12.06.22. https://doi.org/10.1145/3530050.3532929

A SPARQL benchmark for distributed databases in IoT environments. / Warnke, Benjamin; Mantler, Johann; Groppe, Sven et al.
BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments. NY, USA: Association for Computing Machinery, 2022. S. 5:1-5:6.

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

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AU - Sehgelmeble, Yuri Cotrado

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N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2022/6/12

Y1 - 2022/6/12

N2 - Data transmission is one of the biggest energy consumers in low power networks. So, any application running in such environment must reduce the volume of communication caused by its presence. We want to deploy our database on a wireless sensor network. Therefore, we want to gain insights into the interoperability between routing and application in order to reduce communication costs. To do this, we propose our new benchmark framework in this contribution. Using this benchmark framework, we compare state-of-the-art database indexes and how much traffic they cause in a fully distributed environment. We believe that computing speed shouldn't be the only metric to compare databases with each other. If the database uses fewer resources, the actual application has more resources available.

AB - Data transmission is one of the biggest energy consumers in low power networks. So, any application running in such environment must reduce the volume of communication caused by its presence. We want to deploy our database on a wireless sensor network. Therefore, we want to gain insights into the interoperability between routing and application in order to reduce communication costs. To do this, we propose our new benchmark framework in this contribution. Using this benchmark framework, we compare state-of-the-art database indexes and how much traffic they cause in a fully distributed environment. We believe that computing speed shouldn't be the only metric to compare databases with each other. If the database uses fewer resources, the actual application has more resources available.

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ER -

A SPARQL benchmark for distributed databases in IoT environments.

Abstract

Strategische Forschungsbereiche und Zentren

DFG-Fachsystematik

UN SDGs

Dokumente

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