faas‐sim: A trace‐driven simulation framework for serverless edge computing platforms

P Raith, T Rausch, A Furutanpey… - Software: Practice and …, 2023‏ - Wiley Online Library
This paper presents faas‐sim, a simulation framework tailored to serverless edge computing
platforms. In serverless computing, platform operators are tasked with efficiently managing …

Fool: Addressing the downlink bottleneck in satellite computing with neural feature compression

A Furutanpey, Q Zhang, P Raith… - IEEE Transactions …, 2025‏ - ieeexplore.ieee.org
Nanosatellite constellations equipped with sensors capturing large geographic regions
provide unprecedented opportunities for Earth observation. As constellation sizes increase …

Towards a Benchmark for Fog Data Processing

T Pfandzelter, D Bermbach - 2023 IEEE International …, 2023‏ - ieeexplore.ieee.org
Fog data processing systems provide key abstractions to manage data and event
processing in the geo-distributed and heterogeneous fog environment. The lack of …

SimuScale: Optimizing Parameters for Autoscaling of Serverless Edge Functions Through Co-Simulation

P Raith, S Nastic, S Dustdar - 2024 IEEE 17th International …, 2024‏ - ieeexplore.ieee.org
Serverless Edge Computing is growing in popularity, and while commercial providers are
starting to offer edge-oriented products, much research is still being done on orches-trating …

On the applicability of network coordinate systems for fog computing

S Huber, T Pfandzelter, D Bermbach - arxiv preprint arxiv:2306.10321, 2023‏ - arxiv.org
Identifying the closest fog node is crucial for mobile clients to benefit from fog computing.
Relying on geographical location alone us insufficient for this as it ignores real observed …

Leveraging Serverless Computing in Edge C2

H Zhang, X Xu, Z Feng, X Wan - 2024 3rd International …, 2024‏ - ieeexplore.ieee.org
The edge-based command and control system (Edge C2) serves as a crucial complement to
the traditional centralized command and control system. In Edge C2, computing devices …

Decentralized communication in heterogeneous IoT clusters

G Zeqo - 2023‏ - repositum.tuwien.at
As the Internet of Things (IoT) continues to expand and diversify, addressing the inherent
heterogeneity of such networks becomes crucial. Traditional solutions often rely on centric …

Edge Inference using ML-based resource-aware offloading

S Hampejs - 2024‏ - repositum.tuwien.at
With the increasing prevalence of artificial intelligence (AI) applications, the strain oncloud
processing resources has become a notable bottleneck. This requires solutions that can …

A Benchmark Suite for AI workloads in Serverless Edge Computing

P Prüller - 2024‏ - repositum.tuwien.at
Edge Intelligence applications combine resources in the edge-cloud continuum to provide
new AI applications such as Mobile Augmented Reality. Serverless Edge Computing can …

Efficient and transparent model selection for serverless machine learning platforms

S Vasiljevic - 2023‏ - repositum.tuwien.at
Serverless computing is a new paradigm for the deployment of applications in the cloud. Its
extension to the field of Machine Learning (ML) has been a topic of research for the past few …