12 citations · 24 across the 5 of their papers we have counts for
5 papers
Sibyl: Forecasting Time-Evolving Query Workloads
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi +6
Database systems often rely on historical query traces to perform workload-based performance tuning. However, real production workloads are time-evolving, making historical queries…
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…
Predictive Price-Performance Optimization for Serverless Query Processing
Rathijit Sen, Abhishek Roy, Alekh Jindal
We present an efficient, parametric modeling framework for predictive resource allocations, focusing on the amount of computational resources, that can optimize for a range of pric…
INGESTBASE: A Declarative Data Ingestion System
Alekh Jindal, Jorge-Arnulfo Quiane-Ruiz, Samuel Madden
Big data applications have fast arriving data that must be quickly ingested. At the same time, they have specific needs to preprocess and transform the data before it could be put…
Graph Analytics using the Vertica Relational Database
Alekh Jindal, Samuel Madden, Malu Castellanos +1
Graph analytics is becoming increasingly popular, with a deluge of new systems for graph analytics having been proposed in the past few years. These systems often start from the as…