43 citations · 191 across the 34 of their papers we have counts for
11 papers · 1 filter
Large-scale workflow placement in serverless computing using integer nonlinear programming
Joshua Adamek, Natalie Carl, Trever Schirmer +3
Serverless edge computing has become a powerful cloud framework that enables the execution of large workflows without the need for the user to manage the underlying servers and edg…
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…
FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning
Fabian Stricker, Jose A. Peregrina, David Bermbach +1
Performance evaluation is essential for assessing the quality of machine learning (ML) models and guiding deployment decisions. In federated learning (FL), assessing the performanc…
GeoBenchr: An Application-Centric Benchmarking Suite for Spatiotemporal Database Platforms
Tim C. Rese, Nils Japke, Diana Baumann +2
The rapid growth of spatiotemporal data volumes needs to be handled by database systems capable of efficiently managing and querying such data. Existing systems such as PostGIS, Sp…
FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
Minghe Wang, Trever Schirmer, Mohammadreza Malekabbasi +1
Mixture-of-Experts (MoE) models offer high capacity with efficient inference cost by activating a small subset of expert models per input. However, deploying MoE models requires al…
New Kids: An Architecture and Performance Investigation of Second-Generation Serverless Platforms
Trever Schirmer, Aris Wiegand, Lucca di Benedetto +4
With the ever-increasing usage of serverless computing in both industry and academia, it is essential to understand the mechanisms that power the underlying platforms. As serverles…