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20122021
most citedCloud, Fog or Edge: Where to Compute?

106 citations · 169 across the 6 of their papers we have counts for

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9 papers · 1 filter

cs.DC202114 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…

cs.DC202116 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.DC2021106 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

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.DC20193 cited

The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures -- Technical Report

Laurens Versluis, Roland Mathá, Sacheendra Talluri +4

Realistic, relevant, and reproducible experiments often need input traces collected from real-world environments. We focus in this work on traces of workflows---common in datacente…