Matthaios Olma

According to our database, Matthaios Olma authored at least 16 papers between 2014 and 2025.

Collaborative distances:

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

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

2023

Flexible Resource Allocation for Relational Database-as-a-Service.

Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek R. Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois

Proc. VLDB Endow., 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

2020

Adaptive partitioning and indexing for in situ query processing.

Matthaios Olma, Manos Karpathiotakis, Ioannis Alagiannis, Manos Athanassoulis, Anastasia Ailamaki

VLDB J., 2020

A Parallel and Distributed Approach for Diversified Top-k Best Region Search.

Hamid Shahrivari, Matthaios Olma, Odysseas Papapetrou, Dimitrios Skoutas, Anastasia Ailamaki

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019

Timely and cost-efficient data exploration through adaptive tuning.

Matthaios Olma

PhD thesis, 2019

Toward Intelligent Query Engines.

Matthaios Olma, Stella Giannakopoulou, Manos Karpathiotakis, Anastasia Ailamaki

IEEE Data Eng. Bull., 2019

Taster: Self-Tuning, Elastic and Online Approximate Query Processing.

Matthaios Olma, Odysseas Papapetrou, Raja Appuswamy, Anastasia Ailamaki

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing.

Matthaios Olma, Manos Karpathiotakis, Ioannis Alagiannis, Manos Athanassoulis, Anastasia Ailamaki

Proc. VLDB Endow., 2017

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory.

Matthaios Olma, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Alpine: Efficient In-Situ Data Exploration in the Presence of Updates.

Antonios Anagnostou, Matthaios Olma, Anastasia Ailamaki

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters.

Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Scaling the Memory Power Wall With DRAM-Aware Data Management.

Raja Appuswamy, Matthaios Olma, Anastasia Ailamaki

Proceedings of the 11th International Workshop on Data Management on New Hardware, 2015

2014

Reactive and proactive sharing across concurrent analytical queries.

Iraklis Psaroudakis, Manos Athanassoulis, Matthaios Olma, Anastasia Ailamaki

Proceedings of the International Conference on Management of Data, 2014