activity
20182021
most citedThe Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.DB2021

Evaluating Query Languages and Systems for High-Energy Physics Data [Extended Version]

Dan Graur, Ingo Müller, Mason Proffitt +3

In the domain of high-energy physics (HEP), query languages in general and SQL in particular have found limited acceptance. This is surprising since HEP data analysis matches the S…

cs.DB20202 cited

The Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis

Ingo Müller, Renato Marroquín, Dimitrios Koutsoukos +3

Getting the best performance from the ever-increasing number of hardware platforms has been a recurring challenge for data processing systems. In recent years, the advent of data s…

cs.DB2019

Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure

Ingo Müller, Renato Marroquín, Gustavo Alonso

The promise of ultimate elasticity and operational simplicity of serverless computing has recently lead to an explosion of research in this area. In the context of data analytics,…

cs.DB2018

Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query Execution

Renato Marroquín, Ingo Müller, Darko Makreshanski +1

Cloud-based data analysis is nowadays common practice because of the lower system management overhead as well as the pay-as-you-go pricing model. The pricing model, however, is not…

cs.DB2018

Reproducible Floating-Point Aggregation in RDBMSs

Ingo Müller, Andrea Arteaga, Torsten Hoefler +1

Industry-grade database systems are expected to produce the same result if the same query is repeatedly run on the same input. However, the numerous sources of non-determinism in m…