Botong Huang

According to our database, Botong Huang authored at least 14 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price.

Botong Huang, Lianggui Weng, Wei Chen, Zuozhi Wang, Kai Zeng, Chen Li, Yihui Feng, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., February, 2025

Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables.

Daniel Sotolongo, Daniel Mills, Tyler Akidau, Anirudh Santhiar, Attila-Péter Tóth, Botong Huang, Boyuan Zhang, Igor Belianski, Ling Geng, Matt Uhlar, Nikhil Shah, Olivia Zhou, Saras Nowak, Sasha Lionheart, Vlad Lifliand, Wendy Grus, Yiwen Zhu, Ankur Sharma, Dzmitry Pauliukevich, Enrico Sartorello, Ilaria Battiston, Ivan Kalev, Lawrence Benson, Leon Papke, Niklas Semmler, Till Merker, Yi Huang

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2023

Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version).

Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou

VLDB J., November, 2023

2021

Baihe: SysML Framework for AI-driven Databases.

Andreas Pfadler, Rong Zhu, Wei Chen, Botong Huang, Tianjing Zeng, Bolin Ding, Jingren Zhou

CoRR, 2021

2020

Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing.

Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou

Proc. VLDB Endow., 2020

Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version).

Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou

CoRR, 2020

Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing.

Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Hydra: a federated resource manager for data-center scale analytics.

Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Sriram Rao, Giovanni Matteo Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, Raghu Ramakrishnan

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

2017

Cümülön-D: Data Analytics in a Dynamic Spot Market.

Botong Huang, Jun Yang

Proc. VLDB Endow., 2017

2016

Cumulon: Simplified Matrix-Based Data Analytics in the Cloud.

Botong Huang

PhD thesis, 2016

2015

Cumulon: Matrix-Based Data Analytics in the Cloud with Spot Instances.

Botong Huang, Nicholas W. D. Jarrett, Shivnath Babu, Sayan Mukherjee, Jun Yang

Proc. VLDB Endow., 2015

Resource Elasticity for Large-Scale Machine Learning.

Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Cumulon: Cloud-Based Statistical Analysis from Users Perspective.

Botong Huang, Nicholas W. D. Jarrett, Shivnath Babu, Sayan Mukherjee, Jun Yang

IEEE Data Eng. Bull., 2014

2013

Cumulon: optimizing statistical data analysis in the cloud.

Botong Huang, Shivnath Babu, Jun Yang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013