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Performance evaluation of FIWARE: A cloud-based IoT platform for smart cities
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-3489-7429
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-8561-7963
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-8681-9572
2019 (English)In: Journal of Parallel and Distributed Computing, ISSN 0743-7315, E-ISSN 1096-0848, Vol. 132, p. 250-261Article in journal (Refereed) Published
Abstract [en]

As the Internet of Things (IoT) becomes a reality, millions of devices will be connected to IoT platforms in smart cities. These devices will cater to several areas within a smart city such as healthcare, logistics, and transportation. These devices are expected to generate significant amounts of data requests at high data rates, therefore, necessitating the performance benchmarking of IoT platforms to ascertain whether they can efficiently handle such devices. In this article, we present our results gathered from extensive performance evaluation of the cloud-based IoT platform, FIWARE. In particular, to study FIWARE’s performance, we developed a testbed and generated CoAP and MQTT data to emulate large-scale IoT deployments, crucial for future smart cities. We performed extensive tests and studied FIWARE’s performance regarding vertical and horizontal scalability. We present bottlenecks and limitations regarding FIWARE components and their cloud deployment. Finally, we discuss cost-efficient FIWARE deployment strategies that can be extremely beneficial to stakeholders aiming to deploy FIWARE as an IoT platform for smart cities.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 132, p. 250-261
Keywords [en]
Benchmarking, Cloud computing, Internet of things, Middleware, Quality of service, Smart cities
National Category
Computer and Information Sciences
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-75060DOI: 10.1016/j.jpdc.2018.12.010ISI: 000476580400021Scopus ID: 2-s2.0-85066430784OAI: oai:DiVA.org:ltu-75060DiVA, id: diva2:1331614
Note

Validerad;2019;Nivå 2;2019-07-08 (johcin)

Available from: 2019-06-27 Created: 2019-06-27 Last updated: 2025-02-18Bibliographically approved

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Mitra, KaranSaguna, SagunaÅhlund, Christer

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