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 languageEnglish
Title of host publicationBiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments
Number of pages6
Place of PublicationNY, USA
PublisherAssociation for Computing Machinery
Publication date12.06.2022
ISBN (Print)9781450393461
Publication statusPublished - 12.06.2022
EventBiDEDE'22: Second International Workshop on Big Data in Emergent Distributed Environments (ACM SIGMOD PODS 2022) - Philadelphia, United States
Duration: 12.06.202217.06.2022

Research Areas and Centers

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

DFG Research Classification Scheme

  • 409-04 Operating, Communication, Database and Distributed Systems


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