activity
20172026
most citedCloud, Fog or Edge: Where to Compute?

106 citations · 142 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SY2026

Towards Reproducible Test Annotation for Cyber-Physical Energy Systems using Ontology-driven Dataspaces

Kai Heussen, Jawad Kazmi, Narges Mehran +3

Reproducibility, traceability, and transparency in testing cyber-physical energy systems are crucial for scientific advancement and cross-laboratory collaboration. Current experime…

cs.DC2025

ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction

Narges Mehran, Nikolay Nikolov, Radu Prodan +4

The increased usage of Internet of Things devices at the network edge and the proliferation of microservice-based applications create new orchestration challenges in Edge computing…

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★ 6 cited

Scheduling of Distributed Applications on the Computing Continuum: A Survey

Narges Mehran, Dragi Kimovski, Hermann Hellwagner +3

The demand for distributed applications has significantly increased over the past decade, with improvements in machine learning techniques fueling this growth. These applications p…

cs.MM2024★ 7 cited

A Survey on Energy Consumption and Environmental Impact of Video Streaming

Samira Afzal, Narges Mehran, Zoha Azimi Ourimi +4

Climate change challenges require a notable decrease in worldwide greenhouse gas (GHG) emissions across technology sectors. Digital technologies, especially video streaming, accoun…

cs.DC2024

Comparison of Microservice Call Rate Predictions for Replication in the Cloud

Narges Mehran, Arman Haghighi, Pedram Aminharati +4

Today, many users deploy their microservice-based applications with various interconnections on a cluster of Cloud machines, subject to stochastic changes due to dynamic user requi…

cs.DC2021★ 16 cited

A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum

Narges Mehran, Dragi Kimovski, Radu Prodan

Latency-sensitive and bandwidth-intensive stream processing applications are dominant traffic generators over the Internet network. A stream consists of a continuous sequence of da…

cs.DC2021★ 106 cited

Cloud, Fog or Edge: Where to Compute?

Dragi Kimovski, Roland Mathá, Josef Hammer +3

The computing continuum extends the high-performance cloud data centers with energy-efficient and low-latency devices close to the data sources located at the edge of the network.…

cs.DC2019★ 5 cited

MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment

Narges Mehran, Dragi Kimovski, Radu Prodan

The emergence of the Fog computing paradigm that leverages in-network virtualized resources raises important challenges in terms of resource and IoT application management in a het…

cs.NI2017★ 2 cited

Non-uniform EWMA-PCA based cache size allocation scheme in Named Data Networks

Narges Mehran, Naser Movahhedinia

As a data-centric cache-enabled architecture, Named Data Networking (NDN) is considered to be an appropriate alternative to the current host-centric IP-based Internet infrastructur…