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SEMINARIO PUBBLICO DI GABRIELE PROIETTI MATTIA (PROCEDURA VALUTATIVA PER N.1 POSTO DI RICERCATORE A TEMPO DETERMINATO TIPOLOGIA A - PNRR PE7 SPOKE 9 SC 09/H1 SSD ING-INF/05) - LUNEDI' 20/03/2023 ORE 15.00, AULA MAGNA

Speaker: 
Gabriele Proietti Mattia
Data dell'evento: 
Monday, 20 March, 2023 - 15:00
Luogo: 
Aula Magna, DIAG
Contatto: 
Leonardo Querzoni (querzoni@diag.uniroma1.it)

Care colleghe e colleghi,

 
Con la presente vi informo che In ottemperanza ai requisiti previsti dalla procedura selettiva per il reclutamento di un ricercatore a tempo determinato tipologia A regime a tempo pieno PNRR PE7 SPOKE 9 SC 09/H1 - SSD ING-INF/05 Dipartimento di Ingegneria Informatica Automatica E Gestionale Antonio Ruberti, codice bando 2023RTDAPNRR071, pubblicata sulla Gazzetta Ufficiale della Repubblica Italiana n.5 del 20/01/2023, , il Dr. Gabriele Proietti Mattia terrà un seminario pubblico sulle attività di ricerca svolte e in corso di svolgimento il 20/03/2023 alle ore 15:00 presso l'aula magna del DIAG.  Il seminario sarà anche trasmesso in modalità telematica su zoom al seguente link

https://uniroma1.zoom.us/j/91649876760?pwd=TXZ3amk2ZXVzZXM1UzhmdUZ4OWFHdz09

Meeting ID: 916 4987 6760

Passcode: 420544
 
Titolo: Cooperative scheduling and load balancing approaches in Fog and Edge Computing: from randomized to online reinforcement learning strategies

Abstract: Fog and Edge Computing are two models that reached maturity in the last decade, and they can now be considered de facto standards for deploying low and ultra-low latency applications, privacy-oriented solutions, industry 4.0, and smart city infrastructures. The common trait of Fog and Edge computing environments regards their inherent distributed and heterogeneous nature where the multiple (Fog or Edge) nodes are able to interact with each other with the purpose of pre-processing data gathered by the uncountable number of sensors to which they are connected to, even by running significant ML models and relying upon specific processors (TPU). In general, these nodes are often placed in a geographic domain, like a smart city, and the dynamic of the traffic during the day may cause some nodes to be overwhelmed by requests while others instead may become completely idle. To achieve the optimal usage of the system and also to guarantee the best possible QoS across all the users connected to the Fog or Edge nodes, the need to design load balancing and scheduling algorithms arises. The talk will illustrate cooperation-based solutions by showing the pros, the cons, and the results obtained by using randomized approaches, model-based ones, and solutions based on online reinforcement learning algorithms.

Short Bio: Gabriele Proietti Mattia is currently a Postdoc at Sapienza University of Rome, hosted by prof. Roberto Beraldi. Previously he completed his PhD in Engineering in Computer Science at the same University, then a Master's Degree and a Bachelor's Degree in the same field, respectively, in 2017 and 2019. He has published several papers at leading conferences in the area of Cloud, Fog, and Edge Computing (PerCom, ICCCN, MSWiM) and in Journals (IEEE Transactions on Cloud Computing, Computer Networks, Pervasive and Mobile Computing).

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