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Adaptive HTAP through Elastic Resource Scheduling
Summary: Frames HTAP as a runtime scheduling problem over OLTP, OLAP, and RDE, enabling elastic resource sharing to meet freshness and throughput needs. An in-memory, non-intrusive design enables this at low overhead, yielding up to 50% OLAP speedups with modest OLTP impact.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5999
- Venue
- SIGMOD
- Year
- 2020
- Pagerank
- 5.7482116e-05
- Overall Rank
- 5,020 | 65.12%
- DOI
-
10.1145/3318464.3389783
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,641 |
OceanBase: A 707 Million tpmC Distributed Relational Database System |
2022 |
VLDB |
6.8877808e-05 |
| 4,382 |
HTAP Databases: What is New and What is Next |
2022 |
SIGMOD |
6.2318984e-05 |
| 5,853 |
ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency |
2022 |
VLDB |
5.2982336e-05 |
| 6,242 |
Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory |
2021 |
VLDB |
5.1351431e-05 |
| 6,399 |
HyBench: A New Benchmark for HTAP Databases |
2024 |
VLDB |
5.0740852e-05 |
| 6,518 |
How Good is My HTAP System? |
2022 |
SIGMOD |
5.0250374e-05 |
| 6,788 |
Proteus: Autonomous Adaptive Storage for Mixed Workloads |
2022 |
SIGMOD |
4.9207259e-05 |
| 7,689 |
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads |
2022 |
VLDB |
4.6727982e-05 |
| 8,346 |
A system design for elastically scaling transaction processing engines in virtualized servers |
2020 |
VLDB |
4.5359349e-05 |
| 8,370 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
4.5287754e-05 |
| 9,466 |
Memory Efficient Scheduling of Query Pipeline Execution |
2022 |
CIDR |
4.3314303e-05 |
| 9,527 |
One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage |
2023 |
SIGMOD |
4.325951e-05 |
| 9,929 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
4.2470891e-05 |
| 10,305 |
Vodka: Rethink Benchmarking Philosophy in HTAP Systems |
2026 |
VLDB |
4.1905499e-05 |
| 10,778 |
veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System |
2025 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 23 |
A Critique of ANSI SQL Isolation Levels |
1995 |
SIGMOD |
0.00083899338 |
| 59 |
Efficiently Compiling Efficient Query Plans for Modern Hardware |
2011 |
VLDB |
0.0006445664 |
| 241 |
DB2 with BLU Acceleration: So Much More than Just a Column Store |
2013 |
VLDB |
0.00031314629 |
| 419 |
Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems |
2015 |
SIGMOD |
0.00023720294 |
| 1,321 |
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service |
2016 |
SIGMOD |
0.00012605455 |
| 1,387 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
0.00012249858 |
| 1,431 |
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control |
2017 |
VLDB |
0.00012021808 |
| 1,434 |
Fast Checkpoint Recovery Algorithms for Frequently Consistent Applications |
2011 |
SIGMOD |
0.00011988283 |
| 1,503 |
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications |
2017 |
SIGMOD |
0.0001161148 |
| 1,939 |
Procella: Unifying serving and analytical data at YouTube |
2019 |
VLDB |
0.00010019433 |
| 2,419 |
Real-Time Analytical Processing with SQL Server |
2015 |
VLDB |
8.8485055e-05 |
| 2,659 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3615158e-05 |
| 4,319 |
Fast Queries Over Heterogeneous Data Through Engine Customization |
2016 |
VLDB |
6.2823814e-05 |
| 4,452 |
Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads |
2018 |
VLDB |
6.1693569e-05 |
| 4,774 |
The Case For Heterogeneous HTAP |
2017 |
CIDR |
5.9279395e-05 |
| 5,114 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
5.6813929e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 6,062 |
OLTPShare: The Case for Sharing in OLTP Workloads |
2018 |
VLDB |
5.2267464e-05 |
| 5,853 |
ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency |
2022 |
VLDB |
5.2982336e-05 |
| 4,774 |
The Case For Heterogeneous HTAP |
2017 |
CIDR |
5.9279395e-05 |
| 3,686 |
Compacting Transactional Data in Hybrid OLTP&OLAP Databases |
2012 |
VLDB |
6.839208e-05 |
| 1,503 |
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications |
2017 |
SIGMOD |
0.0001161148 |
| 11,427 |
Workload Interference Analysis for HTAP* |
2021 |
CIDR |
4.1905499e-05 |
| 7,689 |
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads |
2022 |
VLDB |
4.6727982e-05 |
| 4,382 |
HTAP Databases: What is New and What is Next |
2022 |
SIGMOD |
6.2318984e-05 |
| 9,929 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
4.2470891e-05 |
| 6,518 |
How Good is My HTAP System? |
2022 |
SIGMOD |
5.0250374e-05 |