Publications (11)
GEqO: ML-Accelerated Semantic Equivalence Detection
Brandon Haynes, Rana Alotaibi, Anna Pavlenko +3
Large scale analytics engines have become a core dependency for modern data-driven enterprises to derive business insights and drive actions. These engines support a large number o…
PipeGen: Data Pipe Generator for Hybrid Analytics
Brandon Haynes, Alvin Cheung, Magdalena Balazinska
We develop a tool called PipeGen for efficient data transfer between database management systems (DBMSs). PipeGen targets data analytics workloads on shared-nothing engines. It sup…
Data Formats in Analytical DBMSs: Performance Trade-offs and Future Directions
Chunwei Liu, Anna Pavlenko, Matteo Interlandi +1
This paper evaluates the suitability of Apache Arrow, Parquet, and ORC as formats for subsumption in an analytical DBMS. We systematically identify and explore the high-level featu…
The BigDAWG Polystore System and Architecture
Vijay Gadepally, Peinan Chen, Jennie Duggan +6
Organizations are often faced with the challenge of providing data management solutions for large, heterogenous datasets that may have different underlying data and programming mod…
VSS: A Storage System for Video Analytics [Technical Report]
Brandon Haynes, Maureen Daum, Dong He +4
We present a new video storage system (VSS) designed to decouple high-level video operations from the low-level details required to store and efficiently retrieve video data. VSS i…
TASM: A Tile-Based Storage Manager for Video Analytics
Maureen Daum, Brandon Haynes, Dong He +2
Modern video data management systems store videos as a single encoded file, which significantly limits possible storage level optimizations. We design, implement, and evaluate TASM…
Vignette: Perceptual Compression for Video Storage and Processing Systems
Amrita Mazumdar, Brandon Haynes, Magdalena Balazinska +3
Compressed videos constitute 70% of Internet traffic, and video upload growth rates far outpace compute and storage improvement trends. Past work in leveraging perceptual cues like…
Towards Building Autonomous Data Services on Azure
Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon +35
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range…
Self-Enhancing Video Data Management System for Compositional Events with Large Language Models [Technical Report]
Enhao Zhang, Nicole Sullivan, Brandon Haynes +2
Complex video queries can be answered by decomposing them into modular subtasks. However, existing video data management systems assume the existence of predefined modules for each…
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]
Maureen Daum, Enhao Zhang, Dong He +4
We introduce VOCALExplore, a system designed to support users in building domain-specific models over video datasets. VOCALExplore supports interactive labeling sessions and trains…
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]
Enhao Zhang, Maureen Daum, Dong He +3
We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over videos from limited user interactions. The user only provides a handful of positive and negative e…