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20212025
most citedMultilayer Resource-aware Partitioning for Fog Application Placement

14 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning

Abolfazl Younesi, Leon Kiss, Zahra Najafabadi Samani +2

Federated learning (FL) enables collaborative model training while preserving data privacy. However, it remains vulnerable to malicious clients who compromise model integrity throu…

cs.AI2025

AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines

Abolfazl Younesi, Zahra Najafabadi Samani, Thomas Fahringer

Data pipelines are essential in stream processing as they enable the efficient collection, processing, and delivery of real-time data, supporting rapid data analysis. In this paper…

cs.DC2025

DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries

Narges Mehran, Zahra Najafabadi Samani, Reza Farahani +2

Reducing energy consumption is essential to lessen greenhouse gas emissions, conserve natural resources, and help mitigate the impacts of climate change. In this direction, edge co…

cs.DC2024

Dynamic Resource Manager for Automating Deployments in the Computing Continuum

Zahra Najafabadi Samani, Matthias Gassner, Thomas Fahringer +2

With the growth of real-time applications and IoT devices, computation is moving from cloud-based services to the low latency edge, creating a computing continuum. This continuum i…

cs.DC2021★ 14 cited

Multilayer Resource-aware Partitioning for Fog Application Placement

Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan

Fog computing emerged as a crucial platform for the deployment of IoT applications. The complexity of such applications requires methods that handle the resource diversity and netw…