I've uploaded Ron's slides here:
http://numenta.org/resources/blog/Swarming_in_NuPIC.pdf
---------
Matt Taylor
OS Community Flag-Bearer
Numenta


On Mon, Sep 9, 2013 at 4:33 PM, Ron Marianetti
<[email protected]> wrote:
> Hi Stewart,
>
> Yes, the database could be a SPOF, but if you need fault tolerance, there is 
> a way to configure MySQL to have a failover server that will take over if the 
> primary one fails.
>
> Running all the workers on a single machine it's all moot though - if that 
> machine fails your SOL :). Swarming was designed for cluster use originally, 
> so having no central controller and being able to leverage a MySQL server 
> with a backup were helpful in that context.
>
> And yes, swarming is best run on a powerful machine or cluster of machines. 
> You can then take the best model found from swarming and run it on a smaller 
> system.
>
>
> On Sep 9, 2013, at 2:58 PM, stewart mackenzie <[email protected]>
>  wrote:
>
>> Apologies, I forgot languages like python use shared state concurrency.
>> Multiple collaborating agents is a cinch given the right language features.
>>
>> This approach introduces a single point of failure, the database.
>>
>> Sensor networks consisting of small microchip type devices are too
>> tiny to run MySQL.
>> Hypersearch will need to be made light weight if it's to get out into
>> sensor networks.
>> I suppose target deployment are data warehouse/high performance
>> cluster style setups.
>>
>> Nevermind, given the tradeoffs it's a sensible decision, and it works.
>>
>> Thanks for clearing that up for me.
>>
>>> The advantage of using MySQL is that the co-operating workers have a joint
>>> noticeboard. MySQL is specifically designed to handle issues like race
>>> conditions and multiple collaborating agents. It's also ubiquitous and
>>> easily installed, it's practically an OS function.
>>
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>
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