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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
- 5998
- Venue
- SIGMOD
- Year
- 2020
- Pagerank
- 5.7641797e-05
- Overall Rank
- 5,005 | 65.19%
- 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 |
| 3,628 |
OceanBase: A 707 Million tpmC Distributed Relational Database System |
2022 |
VLDB |
6.9031596e-05 |
| 4,284 |
HTAP Databases: What is New and What is Next |
2022 |
SIGMOD |
6.2914924e-05 |
| 5,865 |
ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency |
2022 |
VLDB |
5.296893e-05 |
| 5,923 |
HyBench: A New Benchmark for HTAP Databases |
2024 |
VLDB |
5.2721765e-05 |
| 6,247 |
Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory |
2021 |
VLDB |
5.1389201e-05 |
| 6,501 |
How Good is My HTAP System? |
2022 |
SIGMOD |
5.0374293e-05 |
| 6,803 |
Proteus: Autonomous Adaptive Storage for Mixed Workloads |
2022 |
SIGMOD |
4.9224958e-05 |
| 7,688 |
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads |
2022 |
VLDB |
4.6772837e-05 |
| 8,355 |
A system design for elastically scaling transaction processing engines in virtualized servers |
2020 |
VLDB |
4.5381474e-05 |
| 8,393 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
4.5280102e-05 |
| 9,464 |
Memory Efficient Scheduling of Query Pipeline Execution |
2022 |
CIDR |
4.3355852e-05 |
| 9,526 |
One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage |
2023 |
SIGMOD |
4.3301008e-05 |
| 9,937 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
4.2482599e-05 |
| 10,293 |
Vodka: Rethink Benchmarking Philosophy in HTAP Systems |
2026 |
VLDB |
4.1945683e-05 |
| 10,772 |
veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System |
2025 |
VLDB |
4.1945683e-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 |
0.00083894938 |
| 60 |
Efficiently Compiling Efficient Query Plans for Modern Hardware |
2011 |
VLDB |
0.00064439773 |
| 241 |
DB2 with BLU Acceleration: So Much More than Just a Column Store |
2013 |
VLDB |
0.00031420034 |
| 419 |
Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems |
2015 |
SIGMOD |
0.00023720338 |
| 1,322 |
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service |
2016 |
SIGMOD |
0.00012610912 |
| 1,385 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
0.00012261812 |
| 1,432 |
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control |
2017 |
VLDB |
0.00012017544 |
| 1,436 |
Fast Checkpoint Recovery Algorithms for Frequently Consistent Applications |
2011 |
SIGMOD |
0.00011987961 |
| 1,507 |
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications |
2017 |
SIGMOD |
0.00011617967 |
| 1,943 |
Procella: Unifying serving and analytical data at YouTube |
2019 |
VLDB |
0.00010012569 |
| 2,312 |
Real-Time Analytical Processing with SQL Server |
2015 |
VLDB |
9.0530853e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 4,326 |
Fast Queries Over Heterogeneous Data Through Engine Customization |
2016 |
VLDB |
6.288323e-05 |
| 4,454 |
Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads |
2018 |
VLDB |
6.1715229e-05 |
| 4,770 |
The Case For Heterogeneous HTAP |
2017 |
CIDR |
5.9338845e-05 |
| 5,113 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
5.687445e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 4,999 |
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources |
2017 |
VLDB |
5.7752801e-05 |
| 5,865 |
ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency |
2022 |
VLDB |
5.296893e-05 |
| 4,770 |
The Case For Heterogeneous HTAP |
2017 |
CIDR |
5.9338845e-05 |
| 3,689 |
Compacting Transactional Data in Hybrid OLTP&OLAP Databases |
2012 |
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| 1,507 |
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications |
2017 |
SIGMOD |
0.00011617967 |
| 11,424 |
Workload Interference Analysis for HTAP* |
2021 |
CIDR |
4.1945683e-05 |
| 7,688 |
Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads |
2022 |
VLDB |
4.6772837e-05 |
| 4,284 |
HTAP Databases: What is New and What is Next |
2022 |
SIGMOD |
6.2914924e-05 |
| 9,937 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
4.2482599e-05 |
| 6,501 |
How Good is My HTAP System? |
2022 |
SIGMOD |
5.0374293e-05 |