Sibyl: Forecasting Time-Evolving Query Workloads

no code implementations • 8 Jan 2024 • Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesus Camacho-Rodriguez, Yuanyuan Tian

Drawing insights from real-workloads, we propose template-based featurization techniques and develop a stacked-LSTM with an encoder-decoder architecture for accurate forecasting of query workloads.

Decoder

GEqO: ML-Accelerated Semantic Equivalence Detection

no code implementations • 2 Jan 2024 • Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian

Detecting common computation is the first and key step for reducing this computational redundancy.

Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML

no code implementations • 30 Aug 2019 • Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Gowdal, Matteo Interlandi, Alekh Jindal, Kostantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu

Consequently, rigorous data management has emerged as a key requirement in enterprise settings.

Management