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Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement
Summary: NUMA-aware data placement and task scheduling for concurrent main-memory column-stores. Comparative evaluation shows unnecessary partitioning reduces throughput up to 70% and memory-heavy task stealing up to 58%, motivating adaptive, workload-aware design.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11022
- Venue
- VLDB
- Year
- 2015
- Pagerank
- 6.293052e-05
- Overall Rank
- 4,282 | 70.22%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,507 |
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications |
2017 |
SIGMOD |
0.00011617967 |
| 4,281 |
Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads |
2021 |
SIGMOD |
6.2940039e-05 |
| 4,488 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.145117e-05 |
| 5,109 |
Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores |
2017 |
VLDB |
5.6908086e-05 |
| 5,212 |
Self-Tuning Query Scheduling for Analytical Workloads |
2021 |
SIGMOD |
5.6262923e-05 |
| 5,657 |
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures |
2019 |
SIGMOD |
5.3864606e-05 |
| 5,671 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3803919e-05 |
| 7,866 |
Operational Analytics Data Management Systems |
2016 |
VLDB |
4.6321795e-05 |
| 9,944 |
Out-of-order Execution of Database Queries |
2020 |
VLDB |
4.2446672e-05 |
| 10,190 |
P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction |
2026 |
SIGMOD |
4.1945683e-05 |
| 11,866 |
JexLog: A Sonar for the Abyss |
2016 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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