I am a third-year PhD student in Computer Science at the University of Rome Tor Vergata, in Italy.

My research interests span the area of Distributed Systems with emphasis on performance optimization. I am currently investigating decentralized solutions for self-adaptive data processing systems deployed in geographically distributed and heterogeneous environments (e.g., Fog/Edge).

Here is my CV.


Contact information

Dipartimento di Ingegneria Civile e Ingegneria Informatica
Università di Roma “Tor Vergata”
Via del Politecnico 1, 00133 Roma, Italy
russo.russo (at) ing.uniroma2.it


Selected publications

V. Cardellini, F. Lo Presti, M. Nardelli, G. Russo Russo
Optimal operator deployment and replication for elastic distributed data stream processing
Concurrency and Computation: Practice & Experience, Vol. 30, No. 9, May 2018
abstract doi

G. Russo Russo, V. Cardellini, F. Lo Presti
Reinforcement learning based policies for elastic stream processing on heterogeneous resources
Proc. of 13th ACM International Conference on Distributed and Event-based Systems (DEBS 2019), Darmstadt, Germany, June 2019
abstract doi

V. Cardellini, F. Lo Presti, M. Nardelli, G. Russo Russo
Decentralized self-adaptation for elastic Data Stream Processing
Future Generation Computer Systems, vol. 87, pp. 171–185
abstract doi

You can find here a list of all my publications.