Smart grid and edge computing applications require systematic platforms enabling development, deployment, and management of resilient distributed applications. RIAPS innovates by providing a complete middleware stack with adaptive scheduling and fault management capabilities specific to critical infrastructure applications requiring both reliability and flexibility.
This demo abstract presents RIAPS, a Resilient Information Architecture Platform for Smart Grid applications. The platform provides software architecture for deploying distributed intelligent applications on edge computing platforms for grid monitoring and control. It demonstrates a traffic light control scenario using embedded computing nodes communicating in Hardware-in-Loop testbed configurations.
RIAPS successfully demonstrates traffic intersection control application deployment across multiple edge computing nodes in Hardware-in-Loop testing. The platform supports dynamic composition of computing and communication networks with fault tolerance and adaptive scheduling. Experimental validation shows feasibility of deploying complex CPS applications using the RIAPS architecture.
@inproceedings{Emfinger2016,
author = {Emfinger, William and Dubey, Abhishek and V{\"{o}}lgyesi, P{\'{e}}ter and Sallai, J{\'{a}}nos and Karsai, Gabor},
booktitle = {IEEE/ACM} Symposium on Edge Computing, {SEC} 2016, Washington, DC, USA, October 27-28, 2016},
title = {Demo Abstract: {RIAPS} - {A} Resilient Information Architecture Platform for Edge Computing},
year = {2016},
pages = {119--120},
abstract = {The emerging CPS/IoT ecosystem platforms such as Beaglebone Black, Raspberry Pi, Intel Edison and other edge devices such as SCALE, Paradrop are providing new capabilities for data collection, analysis and processing at the edge (also referred to as Fog Computing). This allows the dynamic composition of computing and communication networks that can be used to monitor and control the physical phenomena closer to the physical system. However, there are still a number of challenges that exist and must be resolved before we see wider applicability of these platforms for applications in safety-critical application domains such as Smart Grid and Traffic Control.},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/edge/EmfingerDVSK16},
category = {poster},
contribution = {lead},
doi = {10.1109/SEC.2016.23},
file = {:Emfinger2016-Demo_Abstract_RIAPS-A_Resilient_Information_Architecture_Platform_for_Edge_Computing.pdf:PDF},
keywords = {edge computing, smart grid, resilient systems, distributed applications, middleware, platform architecture, fault tolerance},
project = {cps-middleware},
tag = {platform,decentralization,power},
timestamp = {Wed, 16 Oct 2019 14:14:56 +0200},
url = {https://doi.org/10.1109/SEC.2016.23}
}