Francesca Righetti

Sede ufficiale: VIA G. CARUSO, 16, 56122 PISA

Email: francesca.righetti@unipi.it

Profilo

Ruolo: Ricercatore a tempo determinato L.240/2010

Struttura: Dipartimento di Ingegneria dell'Informazione

Settore scientifico-disciplinare: Sistemi di Elaborazione delle Informazioni IINF-05/A

Didattica

Incarichi di co-docenza in moduli/insegnamenti



Ricerca

Interessi di ricerca

Francesca Righetti is an Assistant Professor at the Department of Information Engineering (DII) at the University of Pisa, Italy. 
She got her PhD in Information Engineering at the University of Pisa in May 2021, with Dr. Giuseppe Anastasi,  Dr. Carlo Vallati and Dr. Sajal K. Das as advisors.
In May 2017, she received the Computer Engineering Master's Degree , from the University of Pisa.
My research focuses on the intersection of the Internet of Things (IoT), Industrial IoT (IIoT), Edge and Cloud Computing, and cyber-physical systems, with a strong emphasis on energy efficiency, distributed intelligence, and real-time performance. In recent years, I have been particularly engaged in addressing the challenges of the Cloud-to-Thing Continuum, designing mechanisms for the energy-aware scheduling and orchestration of serverless (FaaS) functionsacross cloud and edge infrastructures. In this context, we have explored innovative predictive scheduling policies for Function-as-a-Service (FaaS) on Edge platforms, with a particular focus on energy efficiency, leveraging simulations, open-source tools, and edge testbeds to assess the impact of forecasting techniques on function placement and energy consumption
In the context of the Cloud-to-Things Continuum paradigm, our research focuses on the design and assessment of optimal resource allocation strategies for real-time IoT applications involving mobile nodes. We have developed and validated the J-NECORA framework to evaluate the impact of mobility on end-to-end delays.
We have also conducted extensive research in the area of Industrial IoT (IIoT), with a focus on the 6TiSCH architecture, including the design and implementation of distributed and autonomous scheduling algorithms, the proposal of a new distributed Scheduling Function (E-OTF), and contributions to the development of the 6top protocol within the ContikiOs operating system. Additional research directions have included mobility managementcongestion control analysis, and security vulnerabilities in communication protocols. These contributions were validated using both simulation environments (Cooja, OMNeT++) and real-world testbeds.

Pubblicazioni