Dear All,
We at Sandtable (a London-based agent-based modelling consultancy) are
developing such a system, Sandman, that we currently use to deliver
our own projects.
Sandman is a cloud-based platform for agile, scalable agent-based
modelling. It is model platform agnostic: you can run NetLogo models
or other frameworks. We develop models in Python.
Sandman is a managed service - meaning you do not need to
provision/configure/manage any cloud infrastructure. We do it for you.
You upload your models, run simulations and get results.
It's also elastic - so you use the compute resources you need, when
you need them.
You can find out more here: https://sandman.ai
We launched Sandman in closed beta last year. We've been inviting
people to try it out and give us feedback. You can view case studies
on the Sandman website: https://sandman.ai/case-studies/.
While we've focussed on flexibility and performance until now, we're
looking at how to make it easier to use for less technical users. More
to come.
We've also released a whitepaper with more technical details:
https://medium.com/sandmanplatform/sandman-a-cloud-based-platform-for-facilitating-scalable-agile-agent-based-modelling-bb73a4313b6d
Ultimately, the goal of Sandman is to enable modellers to build better
models faster.
Get in touch in you're interested to find out more.
Best regards,
Thomas
On Fri, 17 May 2019 at 15:51, Etienne Delay <[log in to unmask]> wrote:
>
> Dear All,
> If I can push Paul's proposal. I used OpenMole massively with Netlogo
> during my thesis (2012-2015) with a lot of happiness (Great Tool and
> cool community).
> Today the OpenMole tools are more mature than ever and are evolving
> very, very quickly.
>
> Regards,
>
> Etienne
>
> On 17/05/2019 10:17, paul chapron wrote:
> > Dear all,
> > The OpenMOLE platform has been designed to handle such large scale
> > experiments by:
> > - offering some exploration methods (calibration , sensitivity analysis,
> > novelty search in output space, and so on)
> > - facilitating the deployment on HPC environmments (grids, clusters,
> > cloud)
> >
> > The particular case of embedding of Netlogo models can be found at
> > https://next.openmole.org/NetLogo.html
> >
> > Documentation and code (everything is open source) can be found
> > onhttps://next.openmole.org/ <https://next.openmole.org/>
> > the community is cool and still growing, I really encourage you to get
> > in touch with us !
> >
> > best,
> >
> > paul
> >
> > Le ven. 17 mai 2019 à 09:23, Justin Lane <[log in to unmask]
> > <mailto:[log in to unmask]>> a écrit :
> >
> > This would be very interesting I think. While at Oxford one of my
> > colleages and I were using their HPC cluster to run netlogo. He
> > posted this online as a resource:
> > http://resources.modelling4all.org/guides/running-experiments-on-a-cluster-of-computers
> >
> >
> > Having that be something that could be streamlined within the GUI of
> > NetLogo would be great. Although I think that having other useful
> > features added to BehaviorSpace (like Latin Hypercube Sampling and
> > better optimisation) could be more useful for the average user, but
> > having the sort of thing that you're discussing would be very useful
> > for people in the social sciences for example, who often need a bit
> > of help to get to the point of running things on HPCs.
> >
> > All the best!
> >
> > ~J
> >
> > On 5/16/2019 5:13 PM, Bruce Edmonds wrote:
> >> Dear Colleagues,
> >>
> >> David Hales and I have been looking at how to do massively
> >> parallel runs of NetLogo simulation models on the Cloud. Something
> >> like (a) design your runs using NetLogo's BehaviorSpace (b) upload
> >> the model to the cloud (c) run it on the cloud (d) get the
> >> resulting table of results back.
> >>
> >> We are wondering how many people would be interested in something
> >> like this. Please email me, [log in to unmask]
> >> <mailto:[log in to unmask]> by/*26th May*/ if you are.
> >>
> >> Thanks
> >>
> >> Regards.
> >>
> >> ---------------------------------------------------
> >> Bruce Edmonds
> >> Centre for Policy Modelling
> >> Manchester Metropolitan University Business School,
> >> All Saints Campus, Oxford Road, Manchester M15 6BH, UK.
> >> Tel. +161 247 6479 Fax. +161 247 6802
> >> http://bruce.edmonds.name
> >>
> >> ------------------------------------------------------------------------
> >>
> >> To unsubscribe from the SIMSOC list, click the following link:
> >> https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=SIMSOC&A=1
> >>
> > --
> > Justin E. Lane, D.Phil.
> > CTO
> >
> > Prospectus Research AS
> > /Intelligent Solutions to Complex Social Issues/
> >
> > [log in to unmask] <mailto:[log in to unmask]>
> >
> > EU: +421948122559
> > US: +018027359092
> >
> > ------------------------------------------------------------------------
> >
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> >
> >
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> >
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> >
>
> --
> Cordialement
>
> Etienne DELAY
> UPR GREEN
> CIRAD-ES
> TA C-47/F
> Campus International de Baillarguet
> 34398 Montpellier Cedex 5
> blog : http://elcep.legtux.org
> Osgeo profil : https://huit.re/z73XzFYA
>
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--
Dr. Thomas French
CTO @Sandtable
Twitter: @trfrench
LinkedIn: https://www.linkedin.com/in/thomas-french-4927a961/
Sandman: a cloud-based platform for agile, scalable agent-based
modelling: https://sandman.ai
Sandtable's approach to agent-based modeling, SimTalk podcast (Nov
2018): http://brokenjars.xyz/simtalk/2018/4/3/e11
Sandtable Ltd.
41 Old Street
London
EC1V 9HX
Sandtable Limited Registered Company registration 5338372
Registered office 69 Old Street, London, EC1V 9JB.
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