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ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments
Summary: ABase: multi-tenant NoSQL serverless DB for large-scale clouds with diverse, dynamic workloads. Two-layer cache with cache-aware isolation, predictive autoscaling, and multi-resource rescheduling balance data-node utilization and adapt to traffic shifts, enabling 13B QPS and >1EB storage.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7090
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,411 | 27.65%
- DOI
-
10.1145/3722212.3724426
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 573 |
Workload-Aware Database Monitoring and Consolidation |
2011 |
SIGMOD |
0.00019886777 |
| 1,387 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
0.00012249858 |
| 1,498 |
P-Store: An Elastic Database System with Predictive Provisioning |
2018 |
SIGMOD |
0.00011660631 |
| 2,376 |
Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless |
2022 |
VLDB |
8.9367999e-05 |
| 2,750 |
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service |
2014 |
VLDB |
8.1788028e-05 |
| 3,871 |
MagicScaler: Uncertainty-aware, Predictive Autoscaling |
2023 |
VLDB |
6.6738199e-05 |
| 4,110 |
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection |
2021 |
SIGMOD |
6.4358092e-05 |
| 4,615 |
Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud |
2023 |
VLDB |
6.0410647e-05 |
| 5,574 |
Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service |
2023 |
VLDB |
5.4264731e-05 |
| 6,770 |
Database Workload Capacity Planning using Time Series Analysis and Machine Learning |
2020 |
SIGMOD |
4.9274644e-05 |
| 7,044 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
4.8475963e-05 |
| 11,078 |
LavaStore: ByteDance's Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services |
2024 |
VLDB |
4.1905499e-05 |
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