Benchmarking IoT context management platforms: High-level queries matter
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Version 1 2019-11-06, 12:18Version 1 2019-11-06, 12:18
conference contribution
posted on 2019-01-01, 00:00 authored by Alexey Medvedev, Ali Hassani, Arkady ZaslavskyArkady Zaslavsky, P D Haghighi, S Ling, P P Jayaraman© 2019 IEEE. While IoT hardware and application silos achieved significant progress in recent years, the realization of full IoT potential is still limited by the lack of successful middleware platforms for horizontal IoT context sharing and integration, as well as by the lack of common standards on context access interfaces and APIs. In this paper, we propose and discuss the benefits of high-level context query languages over basic languages from performance and expressive power points of view. We argue why existing approaches to benchmarking of IoT middleware are not sufficient for emerging Context Management Platforms (CMP). We propose our benchmarking and reporting framework, which is based on queries' richness as one of the main variables as well as the notation for a compact description of that variable, which can be used both as an input for the load generation and the final benchmarking report. We demonstrate and validate our proposals using Context Definition and Query Language (CDQL), which has been developed for the Context-as-a-Service (CoaaS) IoT platform as part of the EU Horizon-2020 project bIoTope.
History
Event
GIobal Internet of Things Summit (2019 : Århus, Denmark)Pagination
1 - 6Publisher
IEEELocation
Aarhus, DenmarkPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2019-06-17End date
2019-06-21ISBN-13
9781728121710Language
engPublication classification
E1 Full written paper - refereedTitle of proceedings
GIoTS 2019 : Global IoT Summit : proceedings : Aarhus, 17-21 June 2019.Usage metrics
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