GeoBroker: Leveraging geo-contexts for IoT data distribution

Hasenburg, Jonathan; Bermbach, David

doi:10.1016/j.comcom.2020.01.015

Cited by 23 publications

(6 citation statements)

References 46 publications

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“…Such a standard might help to disseminate messages based on geospatial properties. However, some research has been conducted in this field recently (e.g., Hasenburg and Bermbach 2020 ; Herlé 2019 ).…”

Section: Geospatial Information Disseminationmentioning

confidence: 99%

Geospatial Information Research: State of the Art, Case Studies and Future Perspectives

Bill

Blankenbach

Breunig³

et al. 2022

PFG

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Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling, acquiring, sharing, managing, exploring, analyzing, synthesizing, visualizing, and evaluating data on spatio-temporal phenomena related to the Earth. As an interdisciplinary scientific discipline, it focuses on developing and adapting information technologies to understand processes on the Earth and human-place interactions, to detect and predict trends and patterns in the observed data, and to support decision making. The authors – members of DGK, the Geoinformatics division, as part of the Committee on Geodesy of the Bavarian Academy of Sciences and Humanities, representing geodetic research and university teaching in Germany – have prepared this paper as a means to point out future research questions and directions in geospatial information science. For the different facets of geospatial information science, the state of art is presented and underlined with mostly own case studies. The paper thus illustrates which contributions the German GI community makes and which research perspectives arise in geospatial information science. The paper further demonstrates that GI science, with its expertise in data acquisition and interpretation, information modeling and management, integration, decision support, visualization, and dissemination, can help solve many of the grand challenges facing society today and in the future.

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Section: Geospatial Information Disseminationmentioning

confidence: 99%

Geospatial Information Research: State of the Art, Case Studies and Future Perspectives

Bill

Blankenbach

Breunig³

et al. 2022

PFG

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“…Current work focuses on application-specific benchmarks. To name a few, there are benchmarks which evaluate database or storage systems (e.g., Bermbach et al, 2014 ; Cooper et al, 2010 ; Bermbach et al, 2017 ; Kuhlenkamp, Klems & Röss, 2014 ; Müller et al, 2014 ; Pallas et al, 2017 ; Pallas, Günther & Bermbach, 2017 ; Pelkonen et al, 2015 ; Difallah et al, 2013 ), benchmark microservices ( Villamizar et al, 2015 ; Grambow et al, 2020 ; Grambow, Wittern & Bermbach, 2020 ; Ueda, Nakaike & Ohara, 2016 ; Do et al, 2017 ), determine the quality of web APIs ( Bermbach & Wittern, 2016 , 2020 ), specifically tackle web sites ( Menascé, 2002 ), or evaluate other large-scale software systems (e.g., Jiang & Hassan, 2015 ; Hasenburg et al, 2020 ; Hasenburg & Bermbach, 2020 ). Our approach can use all of these application benchmarks as a baseline.…”

Section: Related Workmentioning

confidence: 99%

Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suites

Grambow

Laaber

Leitner

et al. 2021

PeerJ Computer Science

Self Cite

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Performance problems in applications should ideally be detected as soon as they occur, i.e., directly when the causing code modification is added to the code repository. To this end, complex and cost-intensive application benchmarks or lightweight but less relevant microbenchmarks can be added to existing build pipelines to ensure performance goals. In this paper, we show how the practical relevance of microbenchmark suites can be improved and verified based on the application flow during an application benchmark run. We propose an approach to determine the overlap of common function calls between application and microbenchmarks, describe a method which identifies redundant microbenchmarks, and present a recommendation algorithm which reveals relevant functions that are not covered by microbenchmarks yet. A microbenchmark suite optimized in this way can easily test all functions determined to be relevant by application benchmarks after every code change, thus, significantly reducing the risk of undetected performance problems. Our evaluation using two time series databases shows that, depending on the specific application scenario, application benchmarks cover different functions of the system under test. Their respective microbenchmark suites cover between 35.62% and 66.29% of the functions called during the application benchmark, offering substantial room for improvement. Through two use cases—removing redundancies in the microbenchmark suite and recommendation of yet uncovered functions—we decrease the total number of microbenchmarks and increase the practical relevance of both suites. Removing redundancies can significantly reduce the number of microbenchmarks (and thus the execution time as well) to ~10% and ~23% of the original microbenchmark suites, whereas recommendation identifies up to 26 and 14 newly, uncovered functions to benchmark to improve the relevance. By utilizing the differences and synergies of application benchmarks and microbenchmarks, our approach potentially enables effective software performance assurance with performance tests of multiple granularities.

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“…In [19], [20] authors propose GeoBroker, a topic-based server-side data distribution service to control data distribution based on publisher or subscriber geo-context information. To achieve better message matching, the authors created an indexing structure to store all client's pub/sub information.…”

Section: E Basic Command Scenariosmentioning

confidence: 99%

Towards an MQTT5 geo-location extension for location-aware applications

Ihirwe

Iovino²,

Ruscio³

2021

2021 44th International Conference on Telecommunications and Signal Processing (TSP)

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Location-aware applications are becoming popular nowadays because of the increasing adoption of edge and fog computing. This poses novel difficulties to the conventional applications that utilize the Message Queuing Telemetry Transport (MQTT) as their prevalent communication channel. Also, developers are obliged to figure out the code at whatever point they need to build up MQTT-based location-aware applications. This can causes various issues, for example, protocol standard infringement or problems in data acquisition. This paper proposes a novel extension of the recently released MQTT5 protocol that will permit message delivery by not only respecting the topics of interest but also in addition to geo-referenced information provided by both publishers and subscribers.

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GeoBroker: Leveraging geo-contexts for IoT data distribution

Cited by 23 publications

References 46 publications

Geospatial Information Research: State of the Art, Case Studies and Future Perspectives

Geospatial Information Research: State of the Art, Case Studies and Future Perspectives

Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suites

Towards an MQTT5 geo-location extension for location-aware applications

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