home | Valeria Cardellini

Valeria Cardellini

I am Associate Professor of Computer Science at the Department of Civil Engineering and Computer Science Engineering of the University of Rome Tor Vergata, Italy.
My research interests are in the field of distributed computing systems and include Cloud systems and services, data stream processing, service-oriented systems, and general purpose computing on GPU.
I am currently Associate Editor of IEEE TPDS and Elsevier JPDC.
I teach and have taught courses in distributed systems, Cloud computing, Big Data, computer architecture, and Web engineering.
You can find here my CV and a list of publications from DBLP and Google Scholar.
My profiles on ORCID and Publons are also public.
I am a member of the DAMON research group.

Contact Information

Valeria Cardellini
Dipartimento di Ingegneria Civile e Ingegneria Informatica
Università degli Studi di Roma "Tor Vergata"
Via del Politecnico 1, 00133 Roma, Italy
Office: D1-17 Edificio Ingegneria dell'Informazione
Phone: +39 067259 7388
Fax: +39 067259 7460
Email:

Research Interests

My current research interests focus on:

Deployment and run-time adaptation of data stream applications in geo-distributed systems
Resource provisioning and pricing in Cloud systems
Computation offloading in mobile Cloud computing
Self-adaptive service oriented systems
General purpose computing on GPUs

My past research interests included:

Scalable Web systems
Distributed systems for ubiquitous Web access

Research Projects

I am or have been involved in the following international and national projects:

Earth In The Cloud, POR FESR Lazio 2014-2020 (Azione 1.2.1) (2020-2021)
Cloud for Europe Tender, Realization of a research and development project (pre-commercial procurement) on "Cloud for Europe" - Tender number: 5843932, Phase I (Solution design) and Phase II (Prototype development) for Lot 1 "Federated Certified Service Brokerage, Lot 2 "Secure, Legislation-Aware Storage", and Lot 3 "Legislation Execution" (2016-2017).
EU Horizon 2020 "Energy oriented Centre of Excellence for computing applications" (EoCoE) (2015-2018)
COST Action IC1304 "Autonomous Control for a Reliable Internet of Services (ACROSS)" (2013-2017)
"SYPCIT: System for prevention and combat identity theft", funded by EC DG-HOME (2014-2016)
PRIN "D-ASAP: Dependable Adaptable Software Architectures for Pervasive Computing" (2009-2011)
PON "CRESCO: Computation Center for Research in Complex Systems" (2005-2008)
FIRB "WEB MINDS: Wide-scalE, Broadband, Middleware for Network Distributed Services" (2002-2006)
FIRB "Performance Evaluation of Complex Systems: Techniques, Methodologies, and Tools - perf" (2002-2006)
CNR "SP1 Internet networks: efficiency, integrity and security" (2002-2004)
CNR-Agenzia 2000 "Computation Grids and applications" (2002-2003)
PRIN "High Quality Web Systems" (2002-2003)
PRIN "MOSAICO: Methodologies and Tools for the Design of High Performance Systems for Distributed Applications" (1998-1999)

Service

Editorial Board

Associate Editor of IEEE Transactions on Parallel and Distributed Systems, 2020-present
Associate Editor of Journal of Parallel and Distributed Computing, Elsevier, 2021-present

Journal Guest Editor

Big Data Research, Elsevier, Special Issue on "Special Issue on Big Data in Industrial and Commercial Applications" (submission deadline: March 15, 2020) [editorial]
Parallel Computing, Elsevier, Special Issue on "Data stream processing in HPC systems: new frameworks and architectures for high-frequency streaming" (submission deadline: January 9, 2019) [special issue], [editorial]
Future Generation Computer Systems, Elsevier, Special Issue on "New landscapes of the data stream processing in the era of fog computing" (submission deadline: November 3, 2017) [special issue], [editorial]

TPC co-Chair

2020 IEEE International Conference on Fog Computing (ICFC 2020)
11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018)

Workshop and Tutorial (co-)Chair

4th International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2021), co-located with ICPE 2021
3rd International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2019), co-located with Euro-Par 2019
2nd International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2018), co-located with Euro-Par 2018
International Workshop on Autonomic Systems for Big Data Analytics (ASBDA 2017), co-located with FAS*
International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2017), co-located with Euro-Par 2017
International Workshop on Autonomous Control for Performance and Reliability Trade-offs in Internet of Services (ACPROSS 2017), co-located with ICPE 2017
8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) - Tutorial Chair
3rd International Workshop on Advanced Architectures and Algorithms for Internet DElivery and Applications (AAA-IDEA 2009), co-located with QShine 2009

Technical Program Committee Member

My recent TPC service includes:

ICDCS 2022, Edge Computing track
ICFEC 2022, ICFEC 2021, ICFEC 2020, ICFEC 2019, ICFEC 2018
ICPE 2022, ICPE 2021, ICPE 2020
CCISA 2022 special session at PDP 2022, CCISA 2021, CCISA 2020, CCISA 2019, CCISA 2018
MSN 2021 Edge Computing and IoT track
UCC 2021, UCC 2020, UCC 2019
1st Workshop on Distributed Machine Learning for the Intelligent Computing Continuum (DML-ICC 2021)
EduHPC-21
MASCOTS 2021, MASCOTS 2020, MASCOTS 2017, MASCOTS 2016
ACSOS 2021
The Web Conference 2020, The Web Conference 2019, Intelligent Systems and Infrastructure track
IEEE BigDataSE 2020
ICCCN 2020
EduPar-20, EduPar-19
DEBS 2019

Journal Reviewer

I contribute to the distributed system and computer systems performance evaluation communities by reviewing papers for high-quality journals (including ACM TAAS, ACM TOSEM, ACM Computing Surveys, IEEE/ACM TON, IEEE TMC, IEEE TPDS, IEEE TSC, IEEE TWC, Computer Networks, Journal of Systems and Software).

Professional Associations

Member of ACM, IEEE, and IEEE Computer Society.
Faculty sponsor of the ACM Student Chapter at the University of Rome Tor Vergata.

PhD Students

I am a member of the PhD board in Computer Science, Control and GeoInformation at the University of Rome Tor Vergata.

PhD Graduates

Davide Barbieri (co-supervised with Salvatore Filippone), PhD June 2015, "SIMPL: A Pattern Language for Writing Efficient Kernels on GPU architectures".
Stefano Iannucci, PhD June 2015, "MOSES: a QoS-driven Autonomic Framework for Service Oriented Systems".
Alessandro Fanfarillo (co-supervised with Salvatore Filippone), PhD March 2016, "Parallel Programming Techniques for Heterogeneous Exascale Computing Platforms".
Matteo Nardelli, PhD April 2018, "QoS-aware Deployment and Adaptation of Data Stream Processing Applications in Geo-distributed Environments".
Steve Petruzza, PhD April 2018, "Combining Scalability, Portability, and Usability in Big Data Analytics for HPC".
Gabriele Russo Russo (co-supervised with Francesco Lo Presti), PhD May 2021, "Model-based Auto-Scaling of Distributed Data Stream Processing Applications".

Current PhD Students

I have the pleasure to work with the following PhD students:

Giacomo Belocchi (co-supervised with Giuseppe Bianchi), expected 2023.
Fabiana Rossi (co-supervised with Francesco Lo Presti), expected 2022.

Prospective PhD Students

Prospective PhD students interested in my research areas can contact me.
The selection for a position in the Computer Science, Control and GeoInformation PhD Program at the University of Rome Tor Vergata is through an annual open competition which involves an entrance examination and the call is generally issued in Spring.

Teaching

In the current academic year (2021/22) I teach the following regular classes:

Distributed Systems and Cloud Computing, 9 ECTS (MSc in Computer Engineering)
Systems and Architectures for Big Data, 6 ECTS (MSc in Computer Engineering)
Algorithms, Data and Security, 6 ECTS (BA in Global Governance)

and short courses:

Big Data, 4 ECTS (Master Universitario I livello in Data Science)
Big Data, Hadoop & Spark (Master Universitario II livello in Customer Experience & Statistics, Machine Learning & Artificial Intelligence)

In the past academic years I taught the regular classes:

Distributed Systems and Cloud Computing (MSc in Computer Engineering)
from AY 2011/12 to AY 2020/21
Systems and Architectures for Big Data (MSc in Computer Engineering)
from AY 2016/17 to AY 2020/21
Algorithms, Data and Security (BA in Global Governance)
from AY 2018/19 to AY 2020/21
Computer Architectures, 3 out of 9 ECTS (BSc in Computer Engineering)
AY 2018/19 and AY 2019/20
Computer Skills (BSc in Business and Economics)
AY 2015/16, module A in AY 2014/15
Distributed Systems (MSc in Computer Engineering)
from AY 2008/09 to AY 2010/11
Web Engineering (MSc in Computer Engineering)
AY 2006/07 and AY 2007/08
Advanced Computer Architectures (BSc in Computer Engineering)
from AY 2005/06 to AY 2007/08
Computer Architectures (BSc in Computer Engineering)
from AY 2002/03 to AY 2004/05, online in AY 2008/09
Computer Architectures (BSc in Telecommunications Engineering)
AY 2000/01 - University of Rome "La Sapienza"
Computer Architectures 2 (BSc in Computer Engineering)
AY 2000/01

I also taught the following short courses:

Big Data (Master Universitario I livello in Data Science)
from AY 2014/15 to AY 2019/20
Big Data, Hadoop & Spark (Master Universitario II livello in Customer Experience & Social Media Analytics)
from AY 2014/15 to AY 2019/20

http://www.ce.uniroma2.it/~valeria
Last updated on October 10, 2021.