Towards Network-Assisted Data Collection Systems

26 Sep
2024

Gianni Antichi, Associate Professor at Politecnico di Milano (Italy) and Senior Lecturer (Associate Professor) at the School of Electronic Engineering and Computer Science of Queen Mary University of London

External Presentation (External Speaker)

The slowdown of Moore’s Law, the end of Dennard’s scaling, and the rapid adoption of high-bandwidth links is creating new challenges when building high-performance network systems. Recognising this trend, the research community has recently explored ways to help processing through in-network offloads. In this talk, I will focus on discussing opportunities and challenges when designing improved data collection solutions for network monitoring systems at scale. I will tackle two specific axes of the problem space: route traffic from network nodes to collectors and build specialized stacks that are able to support the storage of millions of reports into queryable data structures.

About Gianni Antichi

Gianni Antichi is an Associate Professor at Dipartimento Elettronica, Informazione e Bioingegneria of Politecnico di Milano (Italy) and Senior Lecturer (Associate Professor) at the School of Electronic Engineering and Computer Science of Queen Mary University of London (United Kingdom). His research interests sit at the intersection of networks and systems and the goal is to develop hardware/software co-designs to improve performance and efficiency of end-host applications as well as packet-processing programs. He received a PhD in Information Engineering from the University of Pisa (Italy). His awards include the best paper at ACM SIGCOMM 2017, the ACM SOSR system 2019, the EPSRC New Investigator, and the Facebook Networking Systems Research RFP in 2020.

Este evento se impartirá en inglés

  • Localización: MR-A1 [Ramón] & MR-A2 [Cajal], IMDEA Networks Institute, Avda. del Mar Mediterráneo 22, 28918 Leganés – Madrid
  • Organización: IMDEA Networks Institute; NETCOM Research Group (Telematics Engineering Department, UC3M)
  • Hora: 15:00
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