Aneesh Raman

According to our database, Aneesh Raman authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Reproducibility Report for ACM SIGMOD 2025 Paper: 'Disco: A Compact Index for LSM-trees'.

Aneesh Raman, Yi Li, Roland Kühn

Proceedings of the Reproducibility Reports of the 2025 International Conference on Management of Data, 2025

QuIT your B+-tree for the Quick Insertion Tree.

Aneesh Raman, Konstantinos Karatsenidis, Shaolin Xie, Matthaios Olma, Subhadeep Sarkar, Manos Athanassoulis

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

Benchmarking Learned and LSM Indexes for Data Sortedness.

Aneesh Raman, Andy Huynh, Jinqi Lu, Manos Athanassoulis

Proceedings of the Tenth International Workshop on Testing Database Systems, 2024

2023

Indexing for Near-Sorted Data.

Aneesh Raman, Subhadeep Sarkar, Matthaios Olma, Manos Athanassoulis

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

OSM-tree: A Sortedness-Aware Index.

Aneesh Raman, Subhadeep Sarkar, Matthaios Olma, Manos Athanassoulis

CoRR, 2022

BoDS: A Benchmark on Data Sortedness.

Aneesh Raman, Konstantinos Karatsenidis, Subhadeep Sarkar, Matthaios Olma, Manos Athanassoulis

Proceedings of the Performance Evaluation and Benchmarking, 2022

LSM-Trees Under (Memory) Pressure.

Ju Hyoung Mun, Zichen Zhu, Aneesh Raman, Manos Athanassoulis

Proceedings of the International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, 2022

2021

Reducing Bloom Filter CPU Overhead in LSM-Trees on Modern Storage Devices.

Zichen Zhu, Ju Hyoung Mun, Aneesh Raman, Manos Athanassoulis

Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021

2019

Micro-Level Incident Analysis using Spatial Association Rule Mining.

Jin Soung Yoo, Sang Jun Park, Aneesh Raman

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019