Towards data-as-a-service provisioning with high-quality data

Elarbi Badidi, Hayat Routaib, Mohammed El Koutbi

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

4 Citations (Scopus)


Given the large amount of sensed data by IoT devices and various wireless sensor networks, traditional data services lack the necessary resources to store and process that data, as well as to disseminate high-quality data to a variety of potential consumers. In this paper, we propose a framework for Data as a Service (DaaS) provisioning, which relies on deploying DaaS services on the cloud and using a DaaS agency to mediate between data consumers and DaaS services using a publish/subscribe model. Furthermore, we describe a decision algorithm for the selection of appropriate DaaS services that can fulfill consumers’ requests for high-quality data. One of the benefits of the proposed approach is the elasticity of the cloud resources used by DaaS services. Moreover, the selection algorithm allows ranking DaaS services by matching their quality-of-data (QoD) offers against the QoD needs of the data consumer.

Original languageEnglish
Title of host publicationAdvances in Ubiquitous Networking 2 - Proceedings of the UNet ’ 16
EditorsMustapha Benjillali, Rachid El-Azouzi, Daniel Sadoc Menasché, Essaïd Sabir, Francesco De Pellegrini
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9789811016264
Publication statusPublished - 2017
EventInternational Symposium on Ubiquitous Networking, UNet 2016 - Casablanca, Morocco
Duration: May 30 2016Jun 1 2016

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


OtherInternational Symposium on Ubiquitous Networking, UNet 2016


  • Cloud computing
  • DaaS selection
  • Quality-of-data
  • Smart cities

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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