<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Barve, Yogesh</style></author><author><style face="normal" font="default" size="100%">Neema, Himanshu</style></author><author><style face="normal" font="default" size="100%">Aniruddha S. Gokhale</style></author><author><style face="normal" font="default" size="100%">Sztipanovits, Janos</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Model-driven Automated Deployment of Large-scale CPS Co-simulations in the Cloud</style></title><secondary-title><style face="normal" font="default" size="100%"> MODELS 2017 Satellite Event: Posters co-located with {ACM/IEEE} 20th International Conference on Model Driven Engineering Languages and Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ceur-ws.org/Vol-2019/posters_1.pdf</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://archive.isis.vanderbilt.edu/sites/default/files/posters_1.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Austin,TX,USA</style></pub-location><pages><style face="normal" font="default" size="100%">463–464</style></pages><abstract><style face="normal" font="default" size="100%">With increasing advances in Internet-enabled devices, large cyber-physical
systems (CPS) are being realized by integrating several sub-systems
together.  Analyzing and reasoning different properties of such CPS requires
co-simulations by composing individual and heterogeneous simulators,
each of which addresses only certain aspects of the CPS.  Often these
co-simulations are realized as point solutions or composed in an ad
hoc manner, which makes it hard to reuse, maintain and evolve these
co-simulations. Although our prior work on a model-based framework
called Command and Control Wind Tunnel (C2WT) supports distributed
co-simulations, many challenges remain unresolved.  For instance,
evaluating these complex CPSs requires large amount of computational
and I/O resources for which the cloud is an attractive option yet
there is a general lack of scientific approaches to deploy
co-simulations in the cloud.  In this context, the key challenges
include (i) rapid provisioning and de-provisioning of experimental
resources in the cloud for different co-simulation workloads, (ii)
simulating incompatibility and resource violations, (iii) reliable
execution of co-simulation experiments, and (iv) reproducible
experiments.  Our solution builds upon the C2WT heterogeneous
simulation integration technology and leverages the Docker container
technology to provide a model-driven integrated tool-suite for
specifying experiment and resource requirements, and deploying
repeatable cloud-scale experiments. In this work, we present the core
concepts and architecture of our framework, and provide a summary of
our current work in addressing these challenges. 
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