23 citations · 64 across the 23 of their papers we have counts for
6 papers · 1 filter
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…
Fusionize++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization
Trever Schirmer, Joel Scheuner, Tobias Pfandzelter +1
The Function-as-a-Service (FaaS) execution model increases developer productivity by removing operational concerns such as managing hardware or software runtimes. Developers, howev…
ProFaaStinate: Delaying Serverless Function Calls to Optimize Platform Performance
Trever Schirmer, Natalie Carl, Tobias Pfandzelter +1
Function-as-a-Service (FaaS) enables developers to run serverless applications without managing operational tasks. In current FaaS platforms, both synchronous and asynchronous call…
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…
Lotus: Serverless In-Transit Data Processing for Edge-based Pub/Sub
Minghe Wang, Trever Schirmer, Tobias Pfandzelter +1
Publish-subscribe systems are a popular approach for edge-based IoT use cases: Heterogeneous, constrained edge devices can be integrated easily, with message routing logic offloade…
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…