:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Balitzki, Emil, Pfandzelter, Tobias, Bermbach, David
Format:	Preprint
Published:	2023
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	https://arxiv.org/abs/2306.00575
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Hybrid Communication Approach for Metadata Exchange in Geo-Distributed Fog Environments
by: Kruber, Marvin, et al.
Published: (2023)

Komet: A Serverless Platform for Low-Earth Orbit Edge Services
by: Pfandzelter, Tobias, et al.
Published: (2024)

Lessons Learned from Building Edge Software System Testbeds
by: Pfandzelter, Tobias, et al.
Published: (2024)

Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
by: Grambow, Martin, et al.
Published: (2023)

Towards Energy-Efficient Serverless Computing with Hardware Isolation
by: Carl, Natalie, et al.
Published: (2025)

Are Unikernels Ready for Serverless on the Edge?
by: Moebius, Felix, et al.
Published: (2024)

ElastiBench: Scalable Continuous Benchmarking on Cloud FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2024)

Fusionize++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization
by: Schirmer, Trever, et al.
Published: (2023)

ProFaaStinate: Delaying Serverless Function Calls to Optimize Platform Performance
by: Schirmer, Trever, et al.
Published: (2023)

GeoFF: Federated Serverless Workflows with Data Pre-Fetching
by: Carl, Natalie, et al.
Published: (2024)

GeoFaaS: An Edge-to-Cloud FaaS Platform
by: Malekabbasi, Mohammadreza, et al.
Published: (2024)

Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications
by: Malekabbasi, Mohammadreza, et al.
Published: (2025)

Minos: Exploiting Cloud Performance Variation with Function-as-a-Service Instance Selection
by: Schirmer, Trever, et al.
Published: (2025)

Exploring Influence Factors on LLM Suitability for No-Code Development of End User IoT Applications
by: Wang, Minghe, et al.
Published: (2025)

LLM4FaaS: No-Code Application Development using LLMs and FaaS
by: Wang, Minghe, et al.
Published: (2025)

Increasing Efficiency and Result Reliability of Continuous Benchmarking for FaaS Applications
by: Rese, Tim C., et al.
Published: (2024)

Serverless Abstractions for Short-Running, Lightweight Streams
by: Carl, Natalie, et al.
Published: (2026)

Multi-Event Triggers for Serverless Computing
by: Carl, Natalie, et al.
Published: (2025)

FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
by: Wang, Minghe, et al.
Published: (2026)

New Kids: An Architecture and Performance Investigation of Second-Generation Serverless Platforms
by: Schirmer, Trever, et al.
Published: (2026)

DisCEdge: Distributed Context Management for Large Language Models at the Edge
by: Malekabbasi, Mohammadreza, et al.
Published: (2025)

FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning
by: Stricker, Fabian, et al.
Published: (2026)

Trabant: A Serverless Architecture for Multi-Tenant Orbital Edge Computing
by: Pfandzelter, Tobias, et al.
Published: (2025)

FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
by: Nguyen, Van-Dinh, et al.
Published: (2021)

FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
by: Stricker, F., et al.
Published: (2025)

SkipPredict: When to Invest in Predictions for Scheduling
by: Shahout, Rana, et al.
Published: (2024)

Towards a Testbed for Scalable FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2025)

CRAFT: Fine-Grained Cost-Aware Expert Replication For Efficient Mixture-of-Experts Serving
by: Zhao, Adrian, et al.
Published: (2026)

Comparison of Microservice Call Rate Predictions for Replication in the Cloud
by: Mehran, Narges, et al.
Published: (2023)

Provuse: Platform-Side Function Fusion for Performance and Efficiency in FaaS Environments
by: Kowallik, Niklas, et al.
Published: (2026)

Cost-aware Duration Prediction for Software Upgrades in Datacenters
by: Ding, Yi, et al.
Published: (2022)

Konflux: Optimized Function Fusion for Serverless Applications
by: Kowallik, Niklas, et al.
Published: (2026)

Duet instrumentation: An Agentic Approach to Improving Sensitivity in Cloud Service Benchmarking
by: Koch, Sebastian, et al.
Published: (2026)

Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments
by: Battula, Sudheer Kumar, et al.
Published: (2023)

AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions
by: Hatanpää, Väinö, et al.
Published: (2025)

Large Language Model Aided QoS Prediction for Service Recommendation
by: Liu, Huiying, et al.
Published: (2024)

Semi-decentralized Federated Time Series Prediction with Client Availability Budgets
by: Bao, Yunkai, et al.
Published: (2025)

SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems
by: Wang, Xin, et al.
Published: (2025)

Federated Learning Under Temporal Drift -- Mitigating Catastrophic Forgetting via Experience Replay
by: Kokkula, Sahasra, et al.
Published: (2026)

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction
by: Kralj, Ivan, et al.
Published: (2024)