@article {Badidi2017611,
	title = {Towards data-as-a-service provisioning with high-quality data},
	journal = {Lecture Notes in Electrical Engineering},
	volume = {397},
	year = {2017},
	note = {cited By 0},
	pages = {611-623},
	abstract = {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{\textquoteright} 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. {\textcopyright} Springer Science+Business Media Singapore 2017.},
	doi = {10.1007/978-981-10-1627-1_48},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996995662\&doi=10.1007\%2f978-981-10-1627-1_48\&partnerID=40\&md5=3699ddd8367859bcdb3853679e370f5f},
	author = {Badidi, E.a and Routaib, H.b and El Koutbi, M.b}
}
@conference {Badidi2015,
	title = {A conceptual framework for personalization of mobile cloud services},
	booktitle = {Proceedings of 2015 International Conference on Cloud Computing Technologies and Applications, CloudTech 2015},
	year = {2015},
	note = {cited By 0},
	abstract = {Over the last few years, we are witnessing the proliferation of mobile Internet devices (MIDs) and the wide spread adoption of cloud computing for both personal and corporate usages. These technologies are converging in what is known as mobile cloud computing (MCC) paradigm. This paradigm aims at addressing resource poverty of mobile devices. Several works investigated the challenges of mobile cloud computing. With the growing heterogeneity of mobile devices, personalization of services remains a challenging issue. In this paper, we propose a conceptual framework to address the issue of personalization in a mobile cloud computing environment. It aims at satisfying the mobile user needs and preferences for service provisioning. The mobile cloud service provider composes its service from a set of in-house services and from third party services using a composition plan, which adapts services by taking into account the user{\textquoteright}s profile and preferences. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/CloudTech.2015.7336992},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962800116\&doi=10.1109\%2fCloudTech.2015.7336992\&partnerID=40\&md5=73919960cdf33c891c21d772aed41219},
	author = {Badidi, E.a and Routaib, H.b}
}
@conference {Badidi2014601,
	title = {A framework for automated SLAs management in service-oriented environments},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2014},
	note = {cited By 0},
	pages = {601-606},
	abstract = {To meet their business goals, organizations are increasingly demanding services that can meet their functional and quality-of-service (QoS) requirements. In this paper, we propose a framework for service provisioning, which relies on brokered Service Level agreements (SLAs) between service consumers and service providers. The framework aims at providing support for automated SLA negotiation and management. The Service Broker of the framework carries out SLA negotiation, on behalf of service consumers, with selected service providers in multi-rounds of negotiations until an agreement or a timeout is reached. In each round, multiple SLA parameters are negotiated and both parties try to maximize their global utility functions. SLA compliance monitoring relies on the monitoring infrastructure, which provides support for independent monitoring of services by third party measurement services. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICMCS.2014.6911351},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928746951\&doi=10.1109\%2fICMCS.2014.6911351\&partnerID=40\&md5=c66351ac0a2c12a5dc7d1e8211f5cb48},
	author = {Badidi, E.a and El Koutbi, M.b}
}
