activity
20142026
most citedDesign Principles for Scaling Multi-core OLTP Under High Contention

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB2026

Experience Graphs: The Data Foundation for Self-Improving Agents

Gang Liao, Yujia He, Abdullah Ozturk +22

The database community has repeatedly advanced the state of the art by recognizing that new workloads demand new system architectures. We argue that long-horizon agentic tasks -- c…

cs.DB2024

Bullion: A Column Store for Machine Learning

Gang Liao, Ye Liu, Jianjun Chen +1

The past two decades have witnessed significant success in applying columnar storage to data warehousing and analytics. However, the rapid growth of machine learning poses new chal…

cs.DB2023

Flock: A Low-Cost Streaming Query Engine on FaaS Platforms

Gang Liao, Amol Deshpande, Daniel J. Abadi

Existing serverless data analytics systems rely on external storage services like S3 for data shuffling and communication between cloud functions. While this approach provides the…

cs.DB2022★ 2 cited

C5: Cloned Concurrency Control that Always Keeps Up

Jeffrey Helt, Abhinav Sharma, Daniel J. Abadi +2

Asynchronously replicated primary-backup databases are commonly deployed to improve availability and offload read-only transactions. To both apply replicated writes from the primar…

cs.DB2016★ 3 cited

Design Principles for Scaling Multi-core OLTP Under High Contention

Kun Ren, Jose M. Faleiro, Daniel J. Abadi

Although significant recent progress has been made in improving the multi-core scalability of high throughput transactional database systems, modern systems still fail to achieve s…

cs.DB2014★ 1 cited

Rethinking serializable multiversion concurrency control

Jose M. Faleiro, Daniel J. Abadi

Multi-versioned database systems have the potential to significantly increase the amount of concurrency in transaction processing because they can avoid read-write conflicts. Unfor…