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 Transactions on Parallel and Distributed Systems.
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

Research Interests

• 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

• Scalable Web systems
• Distributed systems for ubiquitous Web access

Research Projects

• 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)

Professional Activities

• Associate Editor of IEEE Transactions on Parallel and Distributed Systems

• Big Data Research, Elsevier, Special Issue on "Special Issue on Big Data in Industrial and Commercial Applications" (submission deadline: March 15, 2020)
• 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]

• 4th International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2021), co-located with ICPE 2021 - Co-Chair
• 2020 IEEE International Conference on Fog Computing (ICFC 2020) - TPC Co-Chair
• 3rd International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2019), co-located with Euro-Par 2019 - Co-Chair
• 11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018) - TPC Co-Chair
• 2nd International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2018), co-located with Euro-Par 2018 - Co-Chair
• International Workshop on Autonomic Systems for Big Data Analytics (ASBDA 2017), co-located with FAS* - Co-Chair
• International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2017), co-located with Euro-Par 2017 - Co-Chair
• International Workshop on Autonomous Control for Performance and Reliability Trade-offs in Internet of Services (ACPROSS 2017), co-located with ICPE 2017 - Co-Chair
• 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 - Co-Chair

My recent TPC service includes:

• UCC 2021, UCC 2020, UCC 2019
• SPS 2021: 3rd International Workshop on Self-Protecting Systems
• ACSOS 2021
• ICFEC 2021, ICFEC 2020, ICFEC 2019, ICFEC 2018
• ICPE 2021, ICPE 2020
• CCISA 2021 special session at PDP 2021, CCISA 2020, CCISA 2019, CCISA 2018
• The Web Conference 2020, The Web Conference 2019, Intelligent Systems and Infrastructure track
• IEEE BigDataSE 2020
• MASCOTS 2020, MASCOTS 2017, MASCOTS 2016
• ALGOCLOUD 2020, ALGOCLOUD 2019
• ICCCN 2020
• EduPar-20, EduPar-19
• ScalCom 2019, ScalCom 2018
• DEBS 2019
• FiCloud 2017

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).

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

PhD Students

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

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

Prospective PhD Students

Teaching

• 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)

• 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)

• Distributed Systems and Cloud Computing (MSc in Computer Engineering)
  from AY 2011/12 to AY 2019/20
• Systems and Architectures for Big Data (MSc in Computer Engineering)
  from AY 2016/17 to AY 2019/20
• Algorithms, Data and Security (BA in Global Governance)
  AY 2018/19 and AY 2019/20
• 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

• 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