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Cluster Computing

Erschienen in:

19.09.2019

Service selection mechanisms in the Internet of Things (IoT): a systematic and comprehensive study

verfasst von: Yunyan Li, Yuansheng Huang, Meimei Zhang, Lila Rajabion

Erschienen in: Cluster Computing | Ausgabe 2/2020

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Abstract

Internet of Things (IoT) describes embedded devices (things) with Internet-based connectivity, enabling them to receive and send data through the communication network. In addition, it provides infrastructure to let things have interacted with each other and people. This advantage of the IoT can increase reliability, sustainability, and efficiency by enhanced information access fashion. This technology can be used in various fields, such as environmental monitoring, home, and building automation and smart networks. Furthermore, the main aim of Service-Oriented Architecture (SOA) is to select the best services among a pool of services. These services can be selected statically or dynamically regarding the service functionalities and performance limitations. Since the performance of complex services is very important in many distributed domains. This study aims to systematically review the service selection mechanisms in the IoT. The service selection mechanisms are classified into centralized, decentralized, and hybrid classes. Also, the detailed evaluation of these techniques brings a good suggestion for further studies.

Vorheriger Artikel Cloud-assisted green IoT-enabled comprehensive framework for wildfire monitoring

Nächster Artikel The role of structured and unstructured data managing mechanisms in the Internet of things

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UDDI (Universal Description, Discovery, and Integration) works as a mediator between the requester and the provider.

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Titel: Service selection mechanisms in the Internet of Things (IoT): a systematic and comprehensive study
verfasst von: Yunyan Li
Yuansheng Huang
Meimei Zhang
Lila Rajabion
Publikationsdatum: 19.09.2019
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe 2/2020
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-019-02984-4

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