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P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction
Summary: P-MOSS learns NUMA-aware query/core/data placement for main-memory B+-trees, using PMU statistics plus a Decision Transformer framed as next-token prediction. Unlike hand-tuned schedulers, it adapts across hardware/workloads and reports up to 6x throughput over traditional schedules.
(summarized by gpt-5-mini on Apr 11 2026)
- Paper ID
- 7502
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,190 | 29.18%
- DOI
-
10.1145/3786675
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Incoming Citations (Sorted by Pagerank)
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 124 |
DBMSs On A Modern Processor: Where Does Time Go? |
1999 |
VLDB |
0.0004501099 |
| 403 |
Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited |
2014 |
VLDB |
0.00024176677 |
| 417 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023734582 |
| 584 |
Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems |
2012 |
VLDB |
0.00019700451 |
| 1,540 |
NUMA-aware algorithms: the case of data shuffling |
2013 |
CIDR |
0.00011451745 |
| 1,693 |
How Soccer Players Would do Stream Joins |
2011 |
SIGMOD |
0.00010886797 |
| 1,800 |
An Experimental Comparison of Thirteen Relational Equi-Joins in Main Memory |
2016 |
SIGMOD |
0.00010494121 |
| 2,245 |
Parallel R-trees |
1992 |
SIGMOD |
9.2048202e-05 |
| 2,313 |
Building a Bw-Tree Takes More Than Just Buzz Words |
2018 |
SIGMOD |
9.0546844e-05 |
| 2,437 |
OLTP on Hardware Islands |
2012 |
VLDB |
8.8206221e-05 |
| 2,777 |
Quickstep: A Data Platform Based on the Scaling-Up Approach |
2018 |
VLDB |
8.1346418e-05 |
| 4,277 |
Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement |
2015 |
VLDB |
6.2878362e-05 |
| 4,609 |
Deployment of Query Plans on Multicores |
2015 |
VLDB |
6.0458679e-05 |
| 5,111 |
Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores |
2017 |
VLDB |
5.6855393e-05 |
| 5,194 |
Clustering Techniques for Minimizing External Path Length |
1996 |
VLDB |
5.6318244e-05 |
| 5,210 |
Self-Tuning Query Scheduling for Analytical Workloads |
2021 |
SIGMOD |
5.6244961e-05 |
| 5,217 |
Multi-Disk B-trees |
1991 |
SIGMOD |
5.621547e-05 |
| 5,682 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3752251e-05 |
| 6,566 |
Robust Performance of Main Memory Data Structures by Configuration |
2020 |
SIGMOD |
5.0030559e-05 |
| 8,653 |
Adaptive Hybrid Indexes |
2022 |
SIGMOD |
4.4696663e-05 |
| 9,736 |
BUZZARD: A NUMA-Aware In-Memory Indexing System |
2013 |
SIGMOD |
4.2901665e-05 |
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