Antonio Cianfrani received the "Laurea" degree, magna cum laude, in Telecommunications Engineering in 2004 and the Ph.D degree in Information and Communication Engineering in 2008 from University of Rome "La Sapienza". Since March 2018 he is an Associate Professor at the Department of Information, Electronic and Telecommunications engineering (DIET) of University of Rome “La Sapienza”.
From June 2010 to November 2011 he has been a researcher of the National Inter-University Consortium for Telecommunications (CNIT) at the research unit (RU) of the University of Rome, located at the Department of Information, Electronic and Telecommunications engineering (DIET). Antonio won a research grant from June 2008 to May 2010 with INFOCOM Department of University of Rome “La Sapienza”.
Antonio was involved in many European and Italian research projects.
From January 2004 to December 2005 he took part to the EURO (Esperimento Universitario di Router Open) research project (PRIN), funded by the Italian Ministry of Education, University and Research (MIUR). His work regarded the performance evaluation of Software Router control plane, in particular of OSPF (Open Shortest Path First) routing protocol. From January 2006 to December 2007 he participated to a new PRIN project, BORA-BORA (Building Open Router Architectures-Based On Router Aggregation), whose main aim was to study the scalability and reliability properties of Software Routers in a network scenario. From March 2008 he was a participant of the Network of Excellence (NoE) BONE (Building the future Optical Network in Europe) working on OTDM techniques in DWDM Optical Networks and Optical Packet Switching (OPS) networks.
From January 2010 he took part to the Efficient PRIN project, working on energy-aware solution for IP networks, and to the STRONGEST (Scalable, Tunable and Resilient Optical Networks Guaranteeing Extremely-high Speed Transport) European Integrated Project (IP) working on energy characterization of Optical Burst Switching (OBS) devices. From November 2010 he is involved in the Network of Excellence (NoE) TREND (Towards Real Energy-efficient Network Design) and in the ECONET (low Energy COnsumption NETworks) European Integrated Project (IP), working on energy saving in IP backbone networks.
From March 2012 he is the University of Rome coordinator of the GreenNet (Greening the Network) project funded by the Italian Ministry of Research and Education under the FIRB "Futuro in Ricerca" program.
Antonio has an official assignment from the University of Rome “La Sapienza” as professor for the courses “Networking for Big Data” and “Networking Laboratory”. He also had an official assignment for the "Telecommunication Networks" course from 2011 to 2015 from Univeristy of Rome at Latina site. Antonio is CCNA (Cisco Certified Network Associate Routing & Switching) certified and he was also involved in several teaching activities in the context of business training courses organized by Cisco Networking Academy.
He has co-authored 21 papers in international journals (among others, IEEE Network, IEEE Transactions on Network and Service Management, IEEE Journal on Selected Areas in Communications, IEEE Communication Magazine, IEEE Transactions on Cloud Computing, Computer Networks), 35 papers in conference proceedings (among others, IEEE Infocom, IEEE Globecom, IEEE ICC) and 3 book chapters. He also received the best paper award in “networking area” at GTTI 2007 Italian conference. The citations number of his works and his H-index are equal to 390 e 9 in the Scopus database, and 654 and 12 in the Google Scholar database, respectively.
He has been the Co-Chair of the Workshop on “Energy-efficiency, Programmability, Flexibility and Integration in future network architectures 2014” (EPFI 2014). Antonio served on the technical program committees of IEEE/ACM GreenComm, IEEE CloudNet and IEEE Globecom. He also served as a reviewer in several international conferences and journal such IEEE Transactions on Computers, IEEE Transactions on Networking, Computer Networks, IEEE Infocom, IEEE Globecom and IEEE ICC.
His main research interests include:
- IP routing: he worked on Segment Routing Traffic Engineering and on an incremental routing algorithm for the OSPF routing protocol
- Cloud Networking: he worked on LISP extensions for the support of Virtual Machine migration among remote Data Centers and on online scheduling algorithms for the workloads assignment in a federated DCs architectures.
- Green Networking: he worked on dynamic energy efficient routing algorithms for ISP networks and on the definition on new energy saving states for network devices.
- Software Routers: he implemented new routing solutions on network devices based on PC hardware and open source software, and characterize Software Router performance by means of experimental testbed.
- Optical Networks: he contributed to the definition of bufferless Optical Packet Switching architectures solving contentions by means of shared optical converters.
Master thesis projects to be assigned (1.000 euro grant)
Project #1. Experimental evaluation of new Segment Routing functionalities in a real testbed realized using the VPP (Vector Packet Processing) technology. The aim of the project is to work with the experimental testbed avaialble in the Netlab made up of 8 SR Router. The SR routers are realized using commodity hardware devices and the VPP open source code. The project will focus on the performance characterization of the SR network, mainly focusing on the impact of advanced features, such as Live-Live functionality, on the traffic (i.e. TPC flows).
Project #2. Data analytics over a real testbed exploiting Segment Routing counters. The aim of the project is to define advanced data analytic solutions over control data collected in a real network, i.e. an experimental testbed available at Netlab. The data to be analyzed are Segment Routing counters, i.e. data about SR operations performed by routers, and link loads values. The data analytic solutions should be able to assess the TM of a specific time period and, as a second step, to predict next-periods TM.
Project #3. Network anomaly detection solutions based on Machine Learning techniques. The topic of the project regards the use of classical Machine Learning techniques for the detection of network anomalies, mainly related to sudden traffic changes. The initial phase will be devoted to study the state of art of machine learning for network monitoring. As a second step, few solutions will be selected and implemented to characterize their perofrmance when using real data traffic. Finally, a customized solution considering the scenario of a backbone network will be defined and compared with the previous ones.