The repo lists recently papers published in the TOP conference whose relate with following topics:
- Blockchain (BC)
- Cryptocurrency (Crypto)
- Smart Contract (SC)
- Benchmark (BE)
- Concurrency Control (CC)
- Cloud Native Database (CND)
- Database Transaction Management (DTM)
- Database with modern AI and Hardware (DB4AI)
- Storage Engine (SE)
- Log-structured merge tree (LSM)
- Query Optimization (QO)
- Outsourcing Database (OD)
Inculding Top Conferences in Database and Distributed System Area
- OSDI (USENIX Symposium on Operating Systems Design and Implementation)
- SIGMOD
- VLDB
- FAST
- SOSP
- CIDR
- [BC] Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric, SIGMOD 2019
- [BC, Crypto] FlyClient: Super-Light Clients for Cryptocurrencies 2020 [paper]
- [BC, Crypto] Zether: Towards Privacy in a Smart Contract World [paper]
- CockroachDB: The Resilient Geo-Distributed SQL Database, SIGMOD 2020, [paper]
- FoundationDB: A Distributed Unbundled Transactional Key Value Store, Apple Inc, SIGMOD 2021, [Paper]
- Cloud-Native Database Systems at Alibaba: Opportunities and Challenges, Li Feifei, VLDB 2019 [paper]
- Making Snapshot Isolation Serializable, TODS 2015, [paper]
- Serializable Snapshot Isolation in PostgreSQL, VLDB 2012, [paper]
- TicToc: Time Traveling Optimistic Concurrency Control, SIGMOD 2016, [paper]
- Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering, MS, VLDB 2018, [paper]
- Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning, Dan Suciu ,SIGMOD 2020, [paper]
- Polyjuice: High-Performance Transactions via Learned Concurrency Control, OSDI 2021, [paper]
- Constant Time Recovery in Azure SQL Database, MS Inc, VLDB 2019, [Paper]
- Loose-Ordering Consistency for Persistent Memory
- TicToc: Time Traveling Optimistic Concurrency Control, Andy Pavlo, SIGMOD 2016, [MVCC] [Paper]
- Cicada: Dependably Fast Multi-Core In-Memory Transactions, SIGMOD 2017, [In-Memory] [Paper]
- An Empirical Evaluation of In-Memory Multi-Version Concurrency Control, Andy Pavlo,VLDB 2017, [MVCC]
- Large-scale Incremental Processing Using Distributed Transactions and Notifications, [paper] -Epoch-based Commit and Replication in Distributed OLTP Databases, VLDB 2021, [paper]
- Automatic Database Management System Tuning ThroughLarge-scale Machine Learning, Andy Pavlo, SIGMOD 2017, [AI FOR DB]
- Query-based Workload Forecasting for Self-Driving Database Management Systems, Lin Ma,Andy Pavlo, SIGMOD 2018, [paper]
- Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines, Li FeiFei, Zou Lei, VLDB 2020, [paper]
- iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases, Li FeiFei, VLDB 2019
- An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning, Guoliang Li and Tencent , SIGMOD 2019
- Scheduling OLTP Transactions via Learned Abort Prediction, Andy Pavlo , SIGMOD 2019, [paper]
- A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics, SIGMOD 2020, Samuel Madden, Xiangyao Yu, [paper]
- An Evaluation of the Advantages and Disadvantages of Deterministic Database Systems, VLDB 2014, [Paper]
- Aria: A Fast and Practical Deterministic OLTP Database, VLDB 2020, [paper]
- An End-to-End Learning-based Cost Estimator, Li guoliang, VLDB 2019, [paper]
- From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees, OSDI 2020, [paper]
- Quickly Generating Billion-Record Synthetic Databases, Jim Gary, SIGMOD 1994
- Li Feifei, VP, Alibaba Damo, [Cloud native database]
- Andy Pavlo, Associate Professor,CMU, [Database system] [Homepage]
- Xiangyao Yu, Assistant Professor, UW, [Database system] [Homepage]
- Lei chen, Chair Professor, HKUST, [Crowdsourcing, Blockchain, Knowledge base, Data management]
- Guoliang li, Professor, Tsinghua , [Crowdsourcing, Database]
- Samuel Madden, Professor, MIT, [Database system][Homepage]
- Daniel J. Abadi, Professor, umd, [Database system][Homepage]
- Lorenzo Alvisi