A DaaS Based Framework for IoT Data Provisioning

Elarbi Badidi, Hayat Routaib

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


As a result of the remarkable advances in sensing and digital communication technologies, massive amounts of data are generated by Internet of Things (IoT) devices. In this paper, we propose a framework for data provisioning that relies on the Data-as-a-Service (DaaS) cloud delivery model. IoT Data is processed and aggregated at the edge of where it is generated, then, it is stored in the cloud. Since smart connected devices are proliferating at an unprecedented pace, we anticipate that the number of DaaS providers will also grow at the same rate. Therefore, data consumers will seek to find suitable DaaS providers that can provide them with high-quality data. DaaS Brokers will emerge to mediate between data providers and data consumers and help data consumers find appropriate DaaS providers using different ranking algorithms. We propose an algorithm to evaluate the offers of potential DaaS providers based on the quality-of-data (QoD) requirements of the data consumer and using fitness functions associated with each QoD dimension.

Original languageEnglish
Title of host publicationCybernetics Approaches in Intelligent Systems - Computational Methods in Systems and Software 2017
EditorsRadek Silhavy, Petr Silhavy, Zdenka Prokopova
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783319676173
Publication statusPublished - 2018
EventInternational Conference on Computational Methods in Systems and Software, CoMeSySo 2017 - Vsetin, Czech Republic
Duration: Sept 12 2017Sept 14 2017

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


OtherInternational Conference on Computational Methods in Systems and Software, CoMeSySo 2017
Country/TerritoryCzech Republic


  • Cloud computing
  • Data brokering
  • Data services
  • Edge analytics
  • Edge computing
  • Quality-of-data

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science


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