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.

Original language	English
Title of host publication	BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments
Number of pages	6
Place of Publication	NY, USA
Publisher	Association for Computing Machinery
Publication date	12.06.2022
Pages	5:1-5:6
ISBN (Print)	9781450393461
DOIs	https://doi.org/10.1145/3530050.3532929
Publication status	Published - 12.06.2022
Event	BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments (ACM SIGMOD PODS 2022) - Philadelphia, United States Duration: 12.06.2022 → 17.06.2022 https://2022.sigmod.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 14 Life Below Water
SDG 15 Life on Land

Research Areas and Centers

Centers: Center for Artificial Intelligence Luebeck (ZKIL)
Research Area: Intelligent Systems

DFG Research Classification Scheme

4.43-03 Security and Dependability, Operating, Communication and Distributed Systems

Access to Document

10.1145/3530050.3532929

Cite this

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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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doi = "10.1145/3530050.3532929",

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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, pp. 5:1-5:6, BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments (ACM SIGMOD PODS 2022), Philadelphia, Pennsylvania, United States, 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. p. 5:1-5:6.

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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AU - Fischer, Stefan

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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M3 - Conference contribution

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BT - BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments

PB - Association for Computing Machinery

CY - NY, USA

T2 - BiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments (ACM SIGMOD PODS 2022)

Y2 - 12 June 2022 through 17 June 2022

ER -

A SPARQL benchmark for distributed databases in IoT environments.

Abstract

UN SDGs

Research Areas and Centers

DFG Research Classification Scheme

Access to Document

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