43 citations · 221 across the 43 of their papers we have counts for
15 papers · 1 filter
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…
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…
Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
Martin Grambow, Tobias Pfandzelter, David Bermbach
Due to the popularity of the FaaS programming model, there is now a wide variety of commercial and open-source FaaS systems. Hence, for comparison of different FaaS systems and the…
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…
Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
Malte Janßen, Tobias Pfandzelter, Minghe Wang +1
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements in sensor capabilities and computational abilities, allowing for efficient autonomous naviga…
Enoki: Stateful Distributed FaaS from Edge to Cloud
Tobias Pfandzelter, David Bermbach
Function-as-a-Service (FaaS) is a promising paradigm for applications distributed across the edge-cloud continuum. FaaS functions are stateless by nature, leading to high elasticit…