Distributed SPARQL queries in collaboration with the routing protocol.

Benjamin Warnke; Stefan Fischer; Sven Groppe

doi:10.1145/3589462.3589497

Distributed SPARQL queries in collaboration with the routing protocol.

Benjamin Warnke, Stefan Fischer, Sven Groppe

Abstract

In the context of the IoT, energy is a scarce resource. Since the transmission of data is one of the largest energy consumers, the amount of data must be reduced as much as possible. Modern database systems optimize the queries to reduce execution times. Therefore they also consider reducing the network traffic but neglect the network topology. Network topology is critical because it can consume more energy to send a few pieces of data over a long distance than to transmit a large amount of data to a neighboring device. Therefore, we propose new techniques for cooperation between routing and application layers.

Original language	English
Title of host publication	ACM International Conference Proceeding Series
Number of pages	8
Publication date	05.2023
Pages	99-106
ISBN (Print)	9798400707445
DOIs	https://doi.org/10.1145/3589462.3589497
Publication status	Published - 05.2023

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

409-06 Information Systems, Process and Knowledge Management

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10.1145/3589462.3589497

Cite this

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title = "Distributed SPARQL queries in collaboration with the routing protocol.",

abstract = "In the context of the IoT, energy is a scarce resource. Since the transmission of data is one of the largest energy consumers, the amount of data must be reduced as much as possible. Modern database systems optimize the queries to reduce execution times. Therefore they also consider reducing the network traffic but neglect the network topology. Network topology is critical because it can consume more energy to send a few pieces of data over a long distance than to transmit a large amount of data to a neighboring device. Therefore, we propose new techniques for cooperation between routing and application layers.",

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N2 - In the context of the IoT, energy is a scarce resource. Since the transmission of data is one of the largest energy consumers, the amount of data must be reduced as much as possible. Modern database systems optimize the queries to reduce execution times. Therefore they also consider reducing the network traffic but neglect the network topology. Network topology is critical because it can consume more energy to send a few pieces of data over a long distance than to transmit a large amount of data to a neighboring device. Therefore, we propose new techniques for cooperation between routing and application layers.

AB - In the context of the IoT, energy is a scarce resource. Since the transmission of data is one of the largest energy consumers, the amount of data must be reduced as much as possible. Modern database systems optimize the queries to reduce execution times. Therefore they also consider reducing the network traffic but neglect the network topology. Network topology is critical because it can consume more energy to send a few pieces of data over a long distance than to transmit a large amount of data to a neighboring device. Therefore, we propose new techniques for cooperation between routing and application layers.

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BT - ACM International Conference Proceeding Series

ER -

Distributed SPARQL queries in collaboration with the routing protocol.

Abstract

UN SDGs

Research Areas and Centers

DFG Research Classification Scheme

Access to Document

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