activity
20182025
most citedCloud, Fog or Edge: Where to Compute?

106 citations · 153 across the 12 of their papers we have counts for

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Showing cs.DCShow all

15 papers · 1 filter

cs.DC2025★ 8 cited

6G Infrastructures for Edge AI: An Analytical Perspective

Kurt Horvath, Shpresa Tuda, Blerta Idrizi +3

The convergence of Artificial Intelligence (AI) and the Internet of Things has accelerated the development of distributed, network-sensitive applications, necessitating ultra-low l…

cs.DC2025★ 1 cited

SCAREY: Location-Aware Service Lifecycle Management

Kurt Horvath, Dragi Kimovski, Radu Prodan

Scheduling services within the computing continuum is complex due to the dynamic interplay of the Edge, Fog, and Cloud resources, each offering distinct computational and networkin…

cs.DC2025★ 1 cited

Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era

Kurt Horvath, Dragi Kimovski

Efficient service discovery is a cornerstone of the rapidly expanding Internet of Things (IoT) and edge computing ecosystems, where low latency and localized service provisioning a…

cs.DC2025★ 2 cited

Enhancing Traffic Safety with AI and 6G: Latency Requirements and Real-Time Threat Detection

Kurt Horvath, Dragi Kimovski, Stojan Kitanov +1

The rapid digitalization of urban infrastructure opens the path to smart cities, where IoT-enabled infrastructure enhances public safety and efficiency. This paper presents a 6G an…

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.DC2022★ 6 cited

Decentralized Machine Learning for Intelligent Health Care Systems on the Computing Continuum

Dragi Kimovski, Sasko Ristov, Radu Prodan

The introduction of electronic personal health records (EHR) enables nationwide information exchange and curation among different health care systems. However, the current EHR syst…

cs.DC2021

Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances

Roland Mathá, Dragi Kimovski, Anatoliy Zabrovskiy +2

Video streaming became an undivided part of the Internet. To efficiently utilize the limited network bandwidth it is essential to encode the video content. However, encoding is a c…

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.DC2019

Semantics-aware Virtual Machine Image Management in IaaS Clouds

Nishant Saurabh, Julian Remmers, Dragi Kimovski +2

Infrastructure-as-a-service (IaaS) Clouds concurrently accommodate diverse sets of user requests, requiring an efficient strategy for storing and retrieving virtual machine images…

cs.DC2019★ 2 cited

VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues

Nishant Saurabh, Dragi Kimovski, Simon Ostermann +1

The emerging trend of Federated Cloud models enlist virtualization as a significant concept to offer a large scale distributed Infrastructure as a Service collaborative paradigm to…

cs.DC2018

An Adaptive Nature-inspired Fog Architecture

Dragi Kimovski, Humaira Ijaz, Nishant Surabh +1

During the last decade, Cloud computing has efficiently exploited the economy of scale by providing low cost computational and storage resources over the Internet, eventually leadi…