@conference {8875501,
	title = {Enabling Container-Based Fog Computing with OpenStack},
	booktitle = {2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)},
	year = {2019},
	month = {July},
	pages = {1049-1056},
	abstract = {Operating system-level virtualization using containerization technologies have changed the world of application development and software by bringing flexibility, efficiency and new methods for managing and distributing software. Edge/Fog computing complements nowadays powerful centralized approach leveraging datacenters resources with a number of distributed fog nodes with relatively capable resources in order to provide advanced services in proximity to end users and data sources. In fact, this emerging paradigm provides ubiquitous processing abilities through scattered heterogeneous hardware with different energy availability and computational capabilities. This paper aims at presenting an extension of an IoT centric infrastructure Cloud framework, named Stack4Things, towards the edge through an integration with two of the OpenStack subsystems (i.e., Zun and Kuryr) that deal with containers management.},
	keywords = {Application development, Cloud, cloud computing, computer centres, container management, container-based fog computing, containerization technologies, containers, datacenter resources, distributed fog nodes, distributing software, Ecosystems, Edge/Fog computing, Internet of Things, IoT, IoT centric infrastructure cloud framework, Kuryr, Neutrons, OpenStack, OpenStack subsystems, operating system-level virtualization, Servers, software management, ubiquitous processing abilities, virtualisation, Virtualization, Zun},
	doi = {10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00181},
	author = {Zakaria Benomar and F. Longo and G. Merlino and A. Puliafito}
}
@conference {9066039,
	title = {A Mininet-Based Emulated Testbed for the I/Ocloud},
	booktitle = {2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)},
	year = {2019},
	month = {Dec},
	pages = {277-283},
	abstract = {Considering the proliferation of smart devices connected to the Internet, typically going under the aegis of Internet of Things (IoT), a trend has arisen to promote the Cloud paradigm as a suitable management system for such a complex environment. In this context, an effort to extend the OpenStack ecosystem to make it able to support the management of the IoT infrastructure has been made by virtue of the I/Ocloud approach, leading up to its reference implementation, the Stack4Things (S4T) middleware. S4T provides a set of suitable capabilities and features to make the (remote) IoT devices able to join an edge-based IaaS/PaaS Cloud. In the interest of enhancing the S4T middleware scalability and explore new capabilities in particular, ones related to Fog and Edge paradigms, it is becoming a must to test new features in practice at a low financial cost and particular constraints for instance, number/type of devices, network conditions, etc. For this purpose, the use of network emulation tools is a practical and suitable approach. In this paper, we present an integration between the S4T middleware and an emulation tool namely Containernet. Through the integration approach, we model network conditions (e.g., latency, bandwidth, packet loss) and devices (in forms of containers) using Containernet, and we manage the devices (i.e., containers) by means of S4T.},
	keywords = {aegis, cloud computing, Cloud paradigm, complex environment, Containernet, containers, Edge computing, Edge/Fog computing, Emulation, input-output programs, Internet of Things, IoT, IoT devices, IoT infrastructure, low financial cost, middleware, Mininet, mininet-based, model network conditions, network emulation tools, OpenStack, OpenStack ecosystem, reference implementation, S4T middleware scalability, smart devices, Stack4Things middleware, suitable management system, Task analysis, Tools, virtualisation},
	doi = {10.1109/MSN48538.2019.00060},
	author = {Zakaria Benomar and D. Bruneo and F. Longo and G. Merlino and A. Puliafito}
}
@conference {8726749,
	title = {Extending Openstack for Cloud-Based Networking at the Edge},
	booktitle = {2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)},
	year = {2018},
	month = {July},
	pages = {162-169},
	abstract = {Cloud-controlled virtual networking at the edge can be considered a critical feature, highly in demand in the IoT infrastructure management domain. Fostering the vision of the Cloud as a suitable control surface for IoT, an integration between the two ecosystems is achievable at a genuinely Infrastructure-as-a-Service level. This work thus describes an integration design between an IoT-centric infrastructure Cloud framework, already capable of limited networking functionality, and Neutron, the networking subsystem belonging to the core services of the OpenStack platform. Design considerations and trade-offs are detailed in the paper.},
	keywords = {Bridges, Cloud, cloud computing, Cloud-controlled virtual networking, control surface, critical feature, Edge computing, IaaS, infrastructure management domain, Infrastructure-as-a-Service level, integration design, Internet of Things, IoT, IoT-centric infrastructure Cloud framework, Linux, network topology, network virtualization, networking functionality, networking subsystem, Neutron, Neutrons, OpenStack, OpenStack platform, Topology, Virtualization},
	doi = {10.1109/Cybermatics_2018.2018.00058},
	author = {Zakaria Benomar and D. Bruneo and S. Distefano and K. Elbaamrani and N. Idboufker and F. Longo and G. Merlino and A. Puliafito}
}
@proceedings {39,
	title = {The Need of a Hybrid Storage Approach for IoT in PaaS Cloud Federation},
	journal = {Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops},
	year = {2014},
	month = {May},
	pages = {779{\textendash}784},
	publisher = {IEEE COMPUTER SOC},
	address = {Washington, DC},
	abstract = {<p>Monitoring activities over many different types of sensors are very challenging to support advanced services for Internet of Things (IoT) and its future. However, one of the major issues is the explosion of the amount of heterogeneous information that has to be stored and processed, thus causing the well known Big Data problem. Some Cloud strategies have been investigated to offer IoT-oriented services, but they do not specifically address solutions for Big Data management. In this paper, we present a two-layer architecture based on a hybrid storage system able to support a Platform as a Service (PaaS) federated Cloud scenario. The proposed architecture combines the benefits of both storage approaches. In particular, it allows us on one hand to extend SQL-like legacy systems, and on the other hand to manage Big Data through an XML-like, non-SQL distributed storage system according to a Cloud federation approach.</p>
},
	keywords = {Big Data, cloud computing, federation, IoT, monitoring, PaaS, sensor network},
	doi = {10.1109/WAINA.2014.162},
	author = {M. Fazio and A. Celesti and M. Villari and A. Puliafito}
}
