- Associate Professor
Biography
I am an Associate Professor in the Department of Computer Science and Technology at University of Cambridge. 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
Distributed Systems and Systems Research (Scheduling, Management, Performance) and Big Data Processing. Design and management of next generation, large-scale applications. Addressing the complexity of modern systems with mathematical reasoning.
Highlights
SEAMS 2025, 10-Year Most Influential Paper Award
Meta, Research Collaborator, 2023-24
2023 SIGMOD Test-of-Time award, read more here
Keynote DEBS 2024: "Distributed scheduling in modern Data Centers: to optimize or not?"
PhD students:
Jan Vincent Szlang (was at Snowflake)
Simon Istvan Virag
Wei Da (was at LinkedIn)
Taking new PhD students for 2025/26. Please email me and apply here.
Visting Postdoctoral Researchers:
Smita Vijayakumar (now at University of Oxford)
Andreas Grammenos (now at Preply)
Past UG Students:
Luca Choteborsky Part III (now at Meta) 2024-25
Simon Istvan Virag MPhil (now PhD) 2024-25
Cyrus Ho Part II 2024-25
Shuntial (Vincent) Liu Part III, "Highly Commended Part III Project" award (was at XenServer) 2022-23
Corey Gair, Razvan Pripoaie, Ivin Lee (now at Jump Street) Part II 2022-23
C.-Y. Peng MPhil 2021-22
Themes
Teaching
Professional Activities
Selected service:
Publications
https://www.eurosys.org/homeSelected papers (full list):
- Unified Lineage System: Tracking Data Provenance at Scale, G. Jacques-Silva, E. Kalyvianaki, K. Cohn-Gordon. et. al. [SIGMOD 2025]
- Mitigating context switching in densely packed Linux clusters with Latency-Aware Group Scheduling, Al Amjad Tawfiq Isstaif, E. Kalyvianaki, Richard Mortier. [arXiv 2025]
- Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling, Wei Da, E. Kalyvianaki, [arXiv, 2025]
- Scheduling for Reduced Tail Task Latencies in Highly Utilized Datacenters, S. Vijayakumar, A. Madhavapeddy, E. Kalyvianaki [SoCC 2024]
- Average Consensus over Directed Networks in Open Multi-Agent Systems with Acknowledgement Feedback, E. Makridis, A. Grammenos, G. Oliva, E. Kalyvianaki, C.N. Hadjicostis, T. Charalambous [CDC 2024]
- CPU Scheduling in Data Centers using asynchronous finite-time distributed coordination mechanisms, A. Grammenos, E. Kalyvianaki, T. Charalambous, [TNSE 2023]
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Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism, A. I. Rikos, A. Grammenos, E. Kalyvianaki, C. N. Hadjicostis, T. Charalambous, K. H. Johansson, [CDC 2021]
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THEMIS: Fairness in Federated Stream Processing under Overload, E. Kalyvianaki, M. Fiscato, T. Salonidis, P. Pietzuch [SIGMOD 2016]
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Making State Explicit for Imperative Big Data Processing, R. C. Fernandez, M. Migliavacca, E. Kalyvianaki, P. Pietzuch [USENIX ATC 2014]
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Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management, R. C. Fernandez, M. Migliavacca, E. Kalyvianaki, P. Pietzuch [SIGMOD 2013]
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SQPR: Stream Query Planning with Reuse, E. Kalyvianaki, W. Wiesemann, Q. H. Vu, D. Kuhn, P. Pietzuch [ICDE 2011]
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Self-Adaptive and Self-Configured CPU Resource Provisioning for Virtualized Servers Using Kalman Filters, E. Kalyvianaki, T. Charalambous, S. Hand [ICAC 2009]
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Adaptive Resource Management for Virtualized Servers (PhD), E. Kalyvianaki
