11 citations · 31 across the 15 of their papers we have counts for
8 papers · 1 filter
Gaia: Hybrid Hardware Acceleration for Serverless AI in the 3D Compute Continuum
Maximilian Reisecker, Cynthia Marcelino, Thomas Pusztai +1
Serverless computing offers elastic scaling and pay-per-use execution, making it well-suited for AI workloads. As these workloads run in heterogeneous environments such as the Edge…
Roadrunner: Accelerating Data Delivery to WebAssembly-Based Serverless Functions
Cynthia Marcelino, Thomas Pusztai, Stefan Nastic
Serverless computing provides infrastructure management and elastic auto-scaling, therefore reducing operational overhead. By design serverless functions are stateless, which means…
Lumos: Performance Characterization of WebAssembly as a Serverless Runtime in the Edge-Cloud Continuum
Cynthia Marcelino, Noah Krennmair, Thomas Pusztai +1
WebAssembly has emerged as a lightweight and portable runtime to execute serverless functions, particularly in heterogeneous and resource-constrained environments such as the Edge…
Databelt: A Continuous Data Path for Serverless Workflows in the 3D Compute Continuum
Cynthia Marcelino, Leonard Guelmino, Thomas Pusztai +1
Typically, serverless functions rely on remote storage services for managing state, which can result in increased latency and network communication overhead. In a dynamic environme…
Stardust: A Scalable and Extensible Simulator for the 3D Continuum
Thomas Pusztai, Jan Hisberger, Cynthia Marcelino +1
Low Earth Orbit (LEO) satellite constellations are quickly being recognized as an upcoming extension of the Edge-Cloud Continuum into a 3D Continuum. Low-latency connectivity aroun…
CWASI: A WebAssembly Runtime Shim for Inter-function Communication in the Serverless Edge-Cloud Continuum
Cynthia Marcelino, Stefan Nastic
Serverless Computing brings advantages to the Edge-Cloud continuum, like simplified programming and infrastructure management. In composed workflows, where serverless functions nee…
Cosmos: A Cost Model for Serverless Workflows in the 3D Compute Continuum
Cynthia Marcelino, Sebastian Gollhofer-Berger, Thomas Pusztai +1
Due to the high scalability, infrastructure management, and pay-per-use pricing model, serverless computing has been adopted in a wide range of applications such as real-time data…
FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting
Michael A. Helcig, Stefan Nastic
Privacy-preserving distributed model training is crucial for modern machine learning applications, yet existing Federated Learning approaches struggle with heterogeneous data distr…