| Title |
Paving the way for an Urban Intelligence OpenStack-based Architecture |
| ID_Doc |
39419 |
| Authors |
Tricomi, G; D'Agati, L; Longo, F; Merlino, G; Puliafito, A; Silvestri, S |
| Title |
Paving the way for an Urban Intelligence OpenStack-based Architecture |
| Year |
2024 |
| Published |
|
| DOI |
10.1109/SMARTCOMP61445.2024.00069 |
| Abstract |
This paper describes a novel architecture aiming to create an open-source template for implementing a platform enabling support for the deployment and integration of services and workflows that compose, manage, and continuously evolve a complex system: the Urban Intelligence. More specifically, the proposed Smart City IT architecture is an evolution of a concrete urban intelligence architecture meant mostly to support Data scientist activities and, obviously, the exploitation of Smart City services by citizens and users. The proposed solution, due to its open-source nature, is fully replicable and improves its ancestor by provisioning new characteristics: i) managing facilities of urban Cyber-Physical System via exploitation of a combination of Administrator/Data scientist workflows and IoT management platform, ii) the definition of workflow directly on the Edge (even through the exploitation of FaaS paradigm directly on IoTs), and iii) enhancement of Smart City infrastructure security via the reduction of external attack surface. The prototype of the proposed IT solution has been implemented leveraging open source frameworks and technologies belonging to the OpenStack ecosystem. |
| Author Keywords |
Urban Intelligence; Stack4Things; Smart City; IoT; CPS; FaaS |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001284744200024 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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