> Maybe I don't understand something, but why should the 5 second setup
> on a new instance bother me? A new instance should be created when
> other instances are near capacity, and not when they exceed it, right?
> So once initialized it can be "dummy-run" internally and only
> available 5 seconds later while the existing instance continue to take
> care of the incoming queries.

What makes you think that the request that causes the creation of a
new instance doesn't wait for the creation of said instance?  (The
scheme you suggest is plausible, but why do you think that it's how
appengine works?)

On Nov 28, 9:03 am, Eric <shel...@gmail.com> wrote:
> Thanks for the response.
>
> Maybe I don't understand something, but why should the 5 second setup
> on a new instance bother me? A new instance should be created when
> other instances are near capacity, and not when they exceed it, right?
> So once initialized it can be "dummy-run" internally and only
> available 5 seconds later while the existing instance continue to take
> care of the incoming queries.
>
> Also, do you think the latency requirements are realistic with GAE?
> That is, in the ordinary case, could the response be consistently
> served back to the querying user with delay of max 3 seconds?
>
> On Nov 28, 8:35 am, 风笑雪 <kea...@gmail.com> wrote:
>
>
>
> > The White House hosted an online town hall meeting on GAE with GWT,
> > and received 700 hits per second at its 
> > peak.http://google-code-updates.blogspot.com/2009/04/google-developer-prod...
>
> > But more than 1000 queries a second is never been tested.
>
> > I think Java is not a good choice in your case. When your user
> > suddenly increasing, starting a new Jave instance may cost more than 5
> > seconds, while Python needs less than 1 second.
>
> > 2009/11/27 Eric <shel...@gmail.com>:
>
> > > Hi,
>
> > > I wish to set up a CPU-intensive time-important query service for
> > > users on the internet.
> > > Is GAE with Java the right choice? (as compared to other clouds, or
> > > non-cloud architecture)
> > > Specifically, in terms of:
> > > 1) pricing
> > > 2) latency resulting from slow CPU, JIT compiles, etc..
> > > 3) latency resulting from communication of processes inside the cloud
> > > (e.g. a queuing process and a calculation process)
> > > 4) latency of communication between cloud and end user
>
> > > A usage scenario I am expecting is:
> > > - a typical user sends a query (XML of size around 1K) once every 30
> > > seconds on average,
> > > - Each query requires a numerical computation of average time 0.2 sec
> > > and max time 1 sec (on a 1 GHz Pentium). The computation requires no
> > > data other than the query itself.
> > > - The delay a user experiences between sending a query and receiving a
> > > response should be on average no more than 2 seconds and in general no
> > > more than 5 seconds.
> > > - A background save to a DB of the response should occur (not time
> > > critical)
> > > - There can be up to 30000 simultaneous users - i.e., on average 1000
> > > queries a second, each requiring an average 0.2 sec calculation, so
> > > that would necessitate around 200 CPUs.
>
> > > Is this feasible on GAE Java?
> > > If so, where can I learn about the correct design methodology for such
> > > a project on GAE?
>
> > > If this is the wrong forum to ask this, I'd appreciate redirection.
>
> > > Thanks,
>
> > > Eric
>
> > > --
>
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>
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