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Ivan Vidal
Researcher at Charles III University of Madrid
Publications - 68
Citations - 543
Ivan Vidal is an academic researcher from Charles III University of Madrid. The author has contributed to research in topics: IP Multimedia Subsystem & Next-generation network. The author has an hindex of 11, co-authored 64 publications receiving 448 citations. Previous affiliations of Ivan Vidal include Complutense University of Madrid & Carlos III Health Institute.
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A secure IoT management architecture based on Information-Centric Networking
TL;DR: This paper explores the use of Information-Centric Networking to support management operations in IoT deployments, presenting the design of a flexible architecture that allows the appropriate operation of IoT devices within a delimited ICN network domain.
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Design and Deployment of an Open Management and Orchestration Platform for Multi-Site NFV Experimentation
TL;DR: The design and deployment of the NFV MANO platform of 5TONIC, the open research and innovation laboratory on 5G technologies founded by Telefonica and IMDEA Networks, is described, and the scalability properties of the platform are explored.
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Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms
TL;DR: The architectural design of a slice orchestrator addressing the coordinated operation of entities at different infrastructures to support the automated orchestration of end-to-end Internet of Things services is presented, based on well-known standard technologies and protocols.
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Adaptable and Automated Small UAV Deployments via Virtualization.
TL;DR: The solution is based on virtualization technologies, and considers SUAVs as programmable network platforms capable of executing virtual functions and services, which may be dynamically selected according to the requirements specified by the operator of the aerial vehicles.
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An NFV-based energy scheduling algorithm for a 5G enabled fleet of programmable unmanned aerial vehicles
Christian Tipantuña,Christian Tipantuña,Xavier Hesselbach,Victor Sanchez-Aguero,Francisco Valera,Ivan Vidal,Borja Nogales +6 more
TL;DR: An UAV scheduling scheme is presented, based on a brute-force search combinatorial algorithm, which allows obtaining the optimal scheduling of UAVs in time, in order to efficiently deploy network services.