activity
20222026
most citedThe Night Shift: Understanding Performance Variability of Cloud Serverless Platforms

23 citations · 48 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.DC2026

Duet instrumentation: An Agentic Approach to Improving Sensitivity in Cloud Service Benchmarking

Sebastian Koch, Nils Japke, David Bermbach

Continuous cloud service performance benchmarking is essential for detecting performance bugs early before deploying them to production. However, detecting performance regressions…

cs.DC2025

Investigating the Impact of Isolation on Synchronized Benchmarks

Nils Japke, Furat Hamdan, Diana Baumann +1

Benchmarking in cloud environments suffers from performance variability from multi-tenant resource contention. Duet benchmarking mitigates this by running two workload versions con…

cs.DC2025★ 2 cited

Towards an Optimized Benchmarking Platform for CI/CD Pipelines

Nils Japke, Sebastian Koch, Helmut Lukasczyk +1

Performance regressions in large-scale software systems can lead to substantial resource inefficiencies, making their early detection critical. Frequent benchmarking is essential f…

cs.DC2024

Increasing Efficiency and Result Reliability of Continuous Benchmarking for FaaS Applications

Tim C. Rese, Nils Japke, Sebastian Koch +2

In a continuous deployment setting, Function-as-a-Service (FaaS) applications frequently receive updated releases, each of which can cause a performance regression. While continuou…

cs.DC2023★ 4 cited

The Early Microbenchmark Catches the Bug -- Studying Performance Issues Using Micro- and Application Benchmarks

Nils Japke, Christoph Witzko, Martin Grambow +1

An application's performance regressions can be detected by both application or microbenchmarks. While application benchmarks stress the system under test by sending synthetic but…

cs.DC2023★ 2 cited

Efficiently Detecting Performance Changes in FaaS Application Releases

Martin Grambow, Tim Dockenfuß, Trever Schirmer +2

The source code of Function as a Service (FaaS) applications is constantly being refined. To detect if a source code change introduces a significant performance regression, the tra…

cs.DC2023★ 23 cited

The Night Shift: Understanding Performance Variability of Cloud Serverless Platforms

Trever Schirmer, Nils Japke, Sofia Greten +2

Function-as-a-Service is a popular cloud programming model that supports developers by abstracting away most operational concerns with automatic deployment and scaling of applicati…

cs.DC2023★ 14 cited

Managing Data Replication and Distribution in the Fog with FReD

Tobias Pfandzelter, Nils Japke, Trever Schirmer +2

The heterogeneous, geographically distributed infrastructure of fog computing poses challenges in data replication, data distribution, and data mobility for fog applications. Fog c…

cs.DC2022★ 2 cited

Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward

Soeren Becker, Tobias Pfandzelter, Nils Japke +2

The growing research and industry interest in the Internet of Things and the edge computing paradigm has increased the need for cost-efficient virtual testbeds for large-scale dist…