Andrea.Baiocchi@uniroma1.it's picture

NETWORK TRAFFIC ENGINEERING - SPRING TERM, 2021

Lecture start is due February, Wednesday 24th.

The schedule shown in the official time-table (Wed 14-17; Thu 14-16) will be slightly modified to avoid a conflict with the corse on Network Economics of Prof. Reverberi,

The modifed schedule is Wednesday 13-15, Thursday 14-17.

Please attend the first class on Wed. 24th, at 13. We will have a chance to check is the time-table of this course is the best fit for everyone.

Classes will be held in mixed mode, with half of students in the classroom and hald connected via a remote Zoom meeting. This is by now the expected teching mode for the second term.
Classes are recorded and recordings are made available to students.

To attend e-learning classes, students are urged to register to the course by sending an email to andrea.baiocchi@uniroma1.it with subject 'NTE 2021 registration'.

Information and full material (slides, references, scripts for the lab) can be found in the course web page (https://web.uniroma1.it/netlab/network-traffic-engineering).

 

 

TELECOMUNICAZIONI - CANALE M-Z (INGEGNERIA GESTIONALE) - SECONDO SEMESTRE, 2021

Le lezioni di questo corso iniziano Martedi 23 Febbraio alle 8, in aula 13 a Via Scarpa 12. La modalità prevista per l'erogazione della didattica è mista: metà degli studenti in aula, metà da remoto attraverso un meeting Zoom.

Le lezioni si svolgono nel solito orario (Mar 8-11, Mer 8-11, Gio 8-10).

Il software di rfierimento per le lezioni in streaming è Zoom. Gli studenti registrati al corso sono invitati subito prima di ciascuna lezione ed esercitazione. Le lezioni ed esercitazioni sono registrate e le registrazioni saranno rese disponibili agli studenti.

Per fruire della teledidattica gli studenti sono invitati a registrarsi mediante l'invio di una email al docente (andrea.baiocchi@uniroma1.it) con oggetto 'TLC'.
Il materiale informativo e bibliografico è accessibile dal sito web del corso (https://web.uniroma1.it/netlab/Telecomunicazioni%20Ing%20Gestionale%20%2...).

 

 

NETWORKING FOR BIG DATA AND LABORATORY - SPRING TERM, 2020

Classes will be held in mixed mode: half of students will attend in the classroom, half via e-learning mode, using Zoom. Students will be invited via email to join classes at the beginning of each class. Lectures will be recorded and recordings will be made available to students.

To attend e-learning classes, students are urged to register to the course by sending an email to andrea.baiocchi@uniroma1.it with subject 'NBD 2021 registration'.

Any information and all the bibliographic and support material for the Data Center module can be found in Google Drive, linked to the web page of the course (https://web.uniroma1.it/netlab/networking-big-data-and-laboratory).

 

Lunedì, dalle 11.30 alle 12.30, stanza 107, Dipartimento di Ingegneria dell'Informazione, Elettronica e Telecomunicazioni (DIET), Via Eudossiana 18.
Per ricevimento in modalità telematica (mediante Google Meet, Webex o Skype), si invita a contattare il docente via email.

Andrea Baiocchi si è laureato in Ingegneria Elettronica e ha conseguito il Dottorato di Ricerca in Ingegneria dell Informazione e della Comunicazione presso l Università di Roma La Sapienza , dove è Professore Ordinario di Telecomunicazioni, dal gennaio 2005, afferendo al Dipartimento di Ingegneria dell Informazione, Elettronica e Telecomunicazioni (DIET).
Andrea Baiocchi ha lavorato sul controllo del traffico in reti a pacchetto, modelli e misure di traffico, teoria delle code, protocolli di accesso multiplo e gestione delle risorse radio in reti radiomobili cellulari. Gli interessi attuali di ricerca sono focalizzati sulle reti veicolari e applicazioni dell ICT ai sistemi di trasporto intelligente, sull evoluzione di WiFi, sul controllo di congestione in reti ad alta velocità, sulle tecniche di analisi e classificazione dei flussi di traffico a pacchetto. Queste attività sono state e sono attualmente sviluppate nell ambito di progetti finanziati in ambito nazionale (CNR, MIUR, POR) e internazionale (EU, ESA), oltre che in collaborazioni industriali e con altre Università. In questi progetti ha avuto anche ruoli di responsabilità e coordinamento di gruppi di ricerca. Andrea Baiocchi è autore di circa centosessanta pubblicazioni su riviste e atti di congressi internazionali, ha fatto parte di oltre settanta Comitati Tecnici di Programma di conferenze internazionali, ha collaborato per dieci anni alla redazione del Notiziario Tecnico Telecom Italia. Andrea è autore del libro "Network Traffic Engineering - Stochastic models and applications", Wiley, 2020.
Riguardo l attività didattica, ha insegnato corsi di Reti cellulari, Reti ottiche e Sicurezza nelle comunicazioni. Attualmente è docente di Telecomunicazioni per Ingegneria Gestionale e di Network Traffic Engineering. Ha una co-docenza del corso di Networking for big data per la laurea magistrale in Data Science.

Course Code Year Course - Attendance
Network traffic engineering 1038140 2021/2022 Communication Engineering
TELECOMMUNICATIONS 1015392 2021/2022 Management Engineering
NETWORKING FOR BIG DATA AND LABORATORY 1047223 2021/2022 Data Science
Network traffic engineering 1038140 2021/2022 Management Engineering
TELECOMMUNICATIONS 1015392 2020/2021 Management Engineering
Network traffic engineering 1038140 2020/2021 Communication Engineering
NETWORKING FOR BIG DATA AND LABORATORY 1047223 2020/2021 Data Science
Network traffic engineering 1038140 2020/2021 Management Engineering
Network traffic engineering 1038140 2019/2020 Communication Engineering
NETWORKING FOR BIG DATA AND LABORATORY 1047223 2019/2020 Data Science
TELECOMMUNICATIONS 1015392 2019/2020 Management Engineering
Network traffic engineering 1038140 2019/2020 Management Engineering
Network traffic engineering 1038140 2018/2019 Communication Engineering
TELECOMMUNICATIONS 1015392 2018/2019 Management Engineering
NETWORKING FOR BIG DATA AND LABORATORY 1047223 2018/2019 Data Science
Network traffic engineering 1038140 2018/2019 Management Engineering
TELECOMMUNICATIONS 1015392 2017/2018 Engineering Management
NETWORKING FOR BIG DATA AND LABORATORY 1047223 2017/2018 Data Science
Network traffic engineering 1038140 2017/2018 Communication Engineering
Network traffic engineering 1038140 2017/2018 Engineering in Computer Science
Network traffic engineering 1038140 2017/2018 Engineering Management
TELECOMMUNICATIONS 1015392 2016/2017 Engineering Management
Network traffic engineering 1038140 2016/2017 Communication Engineering
Network traffic engineering 1038140 2016/2017 Engineering Management
NETWORKING FOR BIG DATA AND LABORATORY 1047223 2016/2017 Data Science
Network traffic engineering 1038140 2016/2017 Engineering in Computer Science
Title Journal Year
Age of information of one-hop broadcast communications in a CSMA network IEEE COMMUNICATIONS LETTERS 2021
A multi-hop broadcast wave approach for floating car data collection in vehicular networks VEHICULAR COMMUNICATIONS 2020
‘Good to repeat’: Making random access near-optimal with repeated contentions IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2020
Frame-by-frame Wi-Fi attack detection algorithm with scalable and modular machine-learning design APPLIED SOFT COMPUTING 2020
Epidemic and timer-based message dissemination in VANETs: A performance comparison ELECTRONICS 2020
Network Traffic Engineering - Stochastic Models and Applications 2020
Traffic management and networking for autonomous vehicular highway systems AD HOC NETWORKS 2019
EPIC: an epidemic based dissemination algorithm for VANETs 2019
Moving RTS/CTS to the frequency domain: an efficient contention scheme for 802.11ax networks 2019
Softwarization of SCADA: Lightweight statistical SDN-agents for anomaly detection 2019
Duplicate suppression for efficient floating car data collection in heterogeneous LTE-DSRC vehicular networks COMPUTER COMMUNICATIONS 2018
Analysis of pure and slotted ALOHA with multi-packet reception and variable packet size IEEE COMMUNICATIONS LETTERS 2018
From raw data packets to ingress egress traffic matrix: the distributed mapreduce-based solution 2018
Routing perturbation for traffic matrix evaluation in a segment routing network IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2018
Poster: Performance evaluation of an open-source audio-video bridging/time-sensitive networking testbed for automotive ethernet 2018
Heterogeneous cellular and DSRC networking for floating car data collection in urban areas VEHICULAR COMMUNICATIONS 2017
Joint management of energy consumption, maintenance costs and user revenues in cellular networks with sleep modes IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING 2017
A model for the optimization of beacon message age-of-information in a VANET 2017
Random access with repeated contentions for emerging wireless technologies 2017
Understanding spurious message forwarding in VANET beacon-less dissemination protocols. An an analytical approach IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2016
Department
INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
SSD

ING-INF/03