- Associate Professor
Biography
I am an Associate Professor in the Department of Computer Science and Technology at University of Cambridge and a member of the (SRG/netos group). Before, I was a Lecturer at the Department of Computer Science at City University London and a post-doctoral researcher in the Department of Computing, Imperial College London. I obtained my Ph.D. from the Computer Laboratory (SRG/netos group) in Cambridge University. I hold a M.Sc.and a B.Sc. degrees from the Computer Science Department of the University of Crete, Greece.
Research
Cloud Computing, Big Data Processing, Autonomic Computing, Distributed Systems and Systems Research in general. Design and management of next generation, large-scale applications in the Cloud. Addressing the complexity of modern systems with mathematical reasoning.
I am honoured to receive the 2023 SIGMOD Test-of-Time award with my co-authors. Read more here.
Taking new PhD students for 2023/24. Please email me and apply here.
PhD students:
Visting Postdoctoral Researcher:
Themes
Teaching
Professional Activities
Selected recent service:
- IEEE/ACM ToN editor, EuroSys vice-chair
- 2023: TPC EuroSys, ICDCS, Middleware
- 2022: TPC EuroSys, ICDCS, DAIS, ICPE
- 2021: TPC EuroSys, ICDCS, ICPE, DAIS
Publications
Selected papers:
- CPU Scheduling in Data Centers using asynchronous finite-time distributed coordination mechanisms
Wei Jiang, Andreas Grammenos, Evangelia Kalyvianaki, and Themistoklis Charalambous
in IEEE Transactions on Network Science and Engineering 2023. [link]
-
An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs
Wei Jiang, Andreas Grammenos, Evangelia Kalyvianaki, and Themistoklis Charalambous
in CDC 2021. [ACM DL] -
Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism
Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Themistoklis Charalambous, and Karl H. Johansson
in CDC 2021. [ACM DL] -
CPU Scheduling in Data Centers using Asynchronous Finite-Time Distributed Coordination Mechanisms
Andreas Grammenos, Themistoklis Charalambous, and Evangelia Kalyvianaki, 2021. ArXiv version -
THEMIS: Fairness in Federated Stream Processing under Overload
Evangelia Kalyvianaki, Marco Fiscato, Theodoros Salonidis, and Peter Pietzuch
in SIGMOD 2016. [ACM DL] -
Making State Explicit for Imperative Big Data Processing
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, and Peter Pietzuch
in USENIX ATC 2014. [Usenix site] -
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management
Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, and Peter Pietzuch
in SIGMOD 2013. [paper] -
SQPR: Stream Query Planning with Reuse
Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hieu Vu, Daniel Kuhn, and Peter Pietzuch
in ICDE 2011. [paper] [tech report with NP proof] -
Self-Adaptive and Self-Configured CPU Resource Provisioning for Virtualized Servers Using Kalman Filters
Evangelia Kalyvianaki, Themistoklis Charalambous, and Steven Hand
in ICAC 2009. [ACM DL] -
(PhD) Adaptive Resource Management for Virtualized Servers
Evangelia Kalyvianaki [pdf]
