Fog computing introduces complexity in determining optimal application placement and workload distribution across edge devices. This work is innovative because it provides integrated simulation and hardware-in-the-loop testing capabilities to evaluate fog applications before deployment, reducing the cost of determining suitable configurations.
This paper presents an architecture and framework for evaluating and analyzing decentralized fog applications using RIAPS. The work addresses challenges in resource discovery, device deployment, and workload distribution for fog computing. The authors develop simulation tools and hardware-in-the-loop testbeds to support network analysis and congestion prediction.
The paper demonstrates network analysis tools that predict message delivery times and congestion in fog networks. Results show the framework successfully identifies optimal workload distribution across edge devices and validates application deployments using both simulation and hardware testbeds.
@inproceedings{Eisele2017,
author = {Eisele, Scott and Pettet, Geoffrey and Dubey, Abhishek and Karsai, Gabor},
booktitle = {IEEE} Fog World Congress, {FWC} 2017, Santa Clara, CA, USA, October 30 - Nov. 1, 2017},
title = {Towards an architecture for evaluating and analyzing decentralized Fog applications},
year = {2017},
pages = {1--6},
abstract = {As the number of low cost computing devices at the edge of network increases, there are greater opportunities to enable novel, innovative capabilities, especially in decentralized cyber-physical systems. For example, in an urban setting, a set of networked, collaborating processors at the edge can be used to dynamically detect traffic densities via image processing and then use those densities to control the traffic flow by coordinating traffic light sequences, in a decentralized architecture. In this paper we describe a testbed and an application framework for such applications.},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/fwc/EiselePDK17},
category = {workshop},
contribution = {lead},
doi = {10.1109/FWC.2017.8368531},
file = {:Eisele2017-Towards_an_architecture_for_evaluating_and_analyzing_decentralized_Fog_applications.pdf:PDF},
keywords = {fog computing, decentralized applications, network analysis, workload distribution, edge devices},
project = {cps-reliability,cps-middleware},
tag = {platform,decentralization},
timestamp = {Wed, 16 Oct 2019 14:14:51 +0200},
url = {https://doi.org/10.1109/FWC.2017.8368531}
}