Konstantinos Kanellis

According to our database, Konstantinos Kanellis authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

From FASTER to F2: Evolving Concurrent Key-Value Store Designs for Large Skewed Workloads.

Konstantinos Kanellis, Badrish Chandramouli, Ted Hart, Shivaram Venkataraman

Proc. VLDB Endow., August, 2025

ARMS: Adaptive and Robust Memory Tiering System.

Sujay Yadalam, Konstantinos Kanellis, Michael Swift, Shivaram Venkataraman

CoRR, August, 2025

From Good to Great: Improving Memory Tiering Performance Through Parameter Tuning.

Konstantinos Kanellis, Sujay Yadalam, Fanchao Chen, Michael Swift, Shivaram Venkataraman

CoRR, April, 2025

TUNA: Tuning Unstable and Noisy Cloud Applications.

Johannes Freischuetz, Konstantinos Kanellis, Brian Kroth, Shivaram Venkataraman

Proceedings of the Twentieth European Conference on Computer Systems, 2025

Striking the Right Chord: Parameter Tuning in Memory Tiering Systems.

Konstantinos Kanellis, Sujay Yadalam, Shivaram Venkataraman, Michael Swift

Proceedings of the 3rd Workshop on Disruptive Memory Systems, 2025

2024

Reproducibility Report for ACM SIGMOD 2024 Paper: 'FACET: Robust Counterfactual Explanation Analytics'.

Peter M. VanNostrand, Konstantinos Kanellis, Wan Shen Lim, Donghyun Sohn

Proceedings of the Reproducibility Reports of the 2024 International Conference on Management of Data, 2024

Nautilus: A Benchmarking Platform for DBMS Knob Tuning.

Konstantinos Kanellis, Johannes Freischuetz, Shivaram Venkataraman

Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024

2023

F2: Designing a Key-Value Store for Large Skewed Workloads.

Konstantinos Kanellis, Badrish Chandramouli, Shivaram Venkataraman

CoRR, 2023

2022

LlamaTune: Sample-Efficient DBMS Configuration Tuning.

Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman

Proc. VLDB Endow., 2022

2020

Too Many Knobs to Tune? Towards Faster Database Tuning by Pre-selecting Important Knobs.

Konstantinos Kanellis, Ramnatthan Alagappan, Shivaram Venkataraman

Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020

2017

A programming model and runtime system for approximation-aware heterogeneous computing.

Ioannis Parnassos, Nikolaos Bellas, Nikolaos Katsaros, Nikolaos Patsiatzis, Athanasios Gkaras, Konstantinos Kanellis, Christos D. Antonopoulos, Michalis Spyrou, Manolis Maroudas

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017