activity
20152022
most citedLambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure

134 citations · 172 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DB2022★ 3 cited

Resource Allocation in Serverless Query Processing

Simon Kassing, Ingo Müller, Gustavo Alonso

Data lakes hold a growing amount of cold data that is infrequently accessed, yet require interactive response times. Serverless functions are seen as a way to address this use case…

cs.DC2022

Short-lived Datacenter

Michael Wawrzoniak, Ingo Müller, Rodrigo Bruno +2

Serverless platforms have attracted attention due to their promise of elasticity, low cost, and fast deployment. Instead of using a fixed virtual machine (VM) infrastructure, which…

cs.DB2021★ 13 cited

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.DB2020★ 2 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.DB2020★ 1 cited

Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms

Dimitrios Koutsoukos, Ingo Müller, Renato Marroquín +2

The enormous quantity of data produced every day together with advances in data analytics has led to a proliferation of data management and analysis systems. Typically, these syste…

cs.DB2019★ 134 cited

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★ 11 cited

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★ 8 cited

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…

cs.DS2015

Communication Efficient Algorithms for Top-k Selection Problems

Lorenz Hübschle-Schneider, Peter Sanders, Ingo Müller

We present scalable parallel algorithms with sublinear per-processor communication volume and low latency for several fundamental problems related to finding the most relevant elem…