Re: #liveDB server, research and upcoming webinar on In-Memory Database Systems

2012/2/10 Robert Friberg <[email protected]>

> Felipe,
>
> > Objects in memory + prevalence tool = prevalent system (or layer)
>
> *Objects* in memory?
> Prevalence doesn't require objects. The system in memory could have any
> representation. The same goes for the transaction journal, transactions can
> have any representation as long as they can be reinterpreted to restore the
> system.
>

agreed :)


> Tool?
> Engine!
>

agreed


Layer?
> What if the architecture is component or service-oriented?
>

still a layer to me..

This post is really cool..

And I'm with Klaus.. I've saw people creating prevalent systems (some very
simple.. but still) and giving other names..

Maybe we can create a wiki about prevalence.. http://prevalence.io There's
a lot of misconception about prevalence engines and styles




>
> We use the term Model for the in memory database and if I recall correct,
> prevayler uses Transaction.executeTransaction(Object system). The parameter
> name "system" is generic enough but could be confused with the "Prevalent
> System" which includes the engine (tool) according to your definition. I
> think the original intention was:
>
>        Prevalent system + engine = prevalence layer
>
> Also, I'm uncomfortable with Transaction, in the rdbms world queries are
> also transactions. Instead we say Command, CommandWithResults and Query
> which all inherited abstract Transaction.
>
> Our execute was Command.Execute(Model graph), currently it is
> Command.Execute(Model model).
> We changed from graph because it implies objects (object graph).
>
> I'll can elaborate on why we chose Model but I'll save that for later post.
>
>
> Robert Friberg
> 0733-839080
> http://livedb.devrex.se
> http://livedomain.codeplex.com
> http://devrex.se
> http://www.linkedin.com/in/robertfriberg
>
>
>
>
>
>
>
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------------------------------------------------------------------------------
Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing 
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/

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