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CloudJump: Optimizing Cloud Databases for Cloud Storages
Summary: CloudJump presents an optimization framework to port on-premise DBs to cloud-native designs that decouple compute from cloud storage. It analyzes B+-tree (InnoDB) and LSM-tree (RocksDB) on cloud storage, delivering architecture-aware optimizations and significant performance gains.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12821
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 4.2777144e-05
- Overall Rank
- 9,802 | 31.88%
- DOI
-
10.14778/3554821.3554834
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 156 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases |
2017 |
SIGMOD |
0.00040580118 |
| 568 |
Optimizing Space Amplification in RocksDB |
2017 |
CIDR |
0.00019932335 |
| 781 |
Scalable Logging through Emerging Non-Volatile Memory |
2014 |
VLDB |
0.00016667457 |
| 914 |
Socrates: The New SQL Server in the Cloud |
2019 |
SIGMOD |
0.00015370799 |
| 1,066 |
Cicada: Dependably Fast Multi-Core In-Memory Transactions |
2017 |
SIGMOD |
0.00014340396 |
| 1,087 |
ARIES/IM: An Efficient and High Concurrency Index Management Method Using Write-Ahead Logging |
1992 |
SIGMOD |
0.00014159274 |
| 1,369 |
Aether: A Scalable Approach to Logging |
2010 |
VLDB |
0.0001235533 |
| 1,593 |
PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database |
2018 |
VLDB |
0.00011214218 |
| 1,649 |
Managing Non-Volatile Memory in Database Systems |
2018 |
SIGMOD |
0.00011006201 |
| 1,835 |
Write-Behind Logging |
2017 |
VLDB |
0.00010356306 |
| 1,989 |
Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes |
2018 |
SIGMOD |
9.8499087e-05 |
| 2,806 |
Low-Overhead Asynchronous Checkpointing in Main-Memory Database Systems |
2016 |
SIGMOD |
8.1011309e-05 |
| 4,031 |
Taurus Database: How to be Fast, Available, and Frugal in the Cloud |
2020 |
SIGMOD |
6.5136841e-05 |
| 4,572 |
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines |
2020 |
VLDB |
6.068399e-05 |
| 5,229 |
Optimizing Databases by Learning Hidden Parameters of Solid State Drives |
2020 |
VLDB |
5.6140339e-05 |
| 5,362 |
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines |
2020 |
SIGMOD |
5.5474601e-05 |
| 5,562 |
Fast Failure Recovery for Main-Memory DBMSs on Multicores |
2017 |
SIGMOD |
5.4343594e-05 |
| 6,593 |
Scalable Database Logging for Multicores |
2018 |
VLDB |
4.9956546e-05 |
| 7,229 |
Industrial-Strength OLTP Using Main Memory and Many Cores |
2020 |
VLDB |
4.790163e-05 |
| 7,341 |
LSM-Trees and B-Trees: The Best of Both Worlds |
2019 |
SIGMOD |
4.7522998e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 3,753 |
Choosing A Cloud DBMS: Architectures and Tradeoffs |
2019 |
VLDB |
6.7850001e-05 |
| 9,322 |
Are Joins over LSM-trees Ready? Take RocksDB as an Example |
2025 |
VLDB |
4.351469e-05 |
| 7,923 |
Efficient B-tree Based Indexing for Cloud Data Processing |
2010 |
VLDB |
4.6111015e-05 |
| 11,592 |
A Framework for Emulating Database Operations in Cloud Data Warehouses |
2020 |
SIGMOD |
4.1905499e-05 |
| 6,662 |
ArkDB: A Key-Value Engine for Scalable Cloud Storage Services |
2021 |
SIGMOD |
4.9661174e-05 |
| 8,876 |
MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying |
2023 |
SIGMOD |
4.4261814e-05 |
| 10,937 |
Native Cloud Object Storage in Db2 Warehouse: Implementing a Fast and Cost-Efficient Cloud Storage Architecture |
2024 |
SIGMOD |
4.1905499e-05 |
| 10,182 |
Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,413 |
CloudJump II: Optimizing Cloud Databases for Shared Storage |
2025 |
SIGMOD |
4.1905499e-05 |
| 8,150 |
Cloud Databases: New Techniques, Challenges, and Opportunities |
2022 |
VLDB |
4.5714701e-05 |