@article {Badidi2018369,
	title = {A DaaS Based Framework for IoT Data Provisioning},
	journal = {Advances in Intelligent Systems and Computing},
	volume = {661},
	year = {2018},
	pages = {369-379},
	doi = {10.1007/978-3-319-67618-0_34},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029599349\&doi=10.1007\%2f978-3-319-67618-0_34\&partnerID=40\&md5=e76f069dc00af29313bd86f85b4adfb8},
	author = {Badidi, E. and Routaib, H.}
}
@article {Badidi2018369,
	title = {A DaaS Based Framework for IoT Data Provisioning},
	journal = {Advances in Intelligent Systems and Computing},
	volume = {661},
	year = {2018},
	note = {cited By 0},
	pages = {369-379},
	abstract = {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. {\textcopyright} 2018, Springer International Publishing AG.},
	doi = {10.1007/978-3-319-67618-0_34},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029599349\&doi=10.1007\%2f978-3-319-67618-0_34\&partnerID=40\&md5=e76f069dc00af29313bd86f85b4adfb8},
	author = {Badidi, E. and Routaib, H.}
}
