RE: [OSGeo-Discuss] RE: OGC WPS and Amazon SQS

2008-02-29 Thread Andreas Wytzisk (52north)
Hi Randy,
52°North (http://www.52north.org) is working on an WPS Framework 
Implementation. Please find details at 
http://52north.org/joomla//index.php?option=com_projectstask=showProjectid=21Itemid=127

Best regards,
Andreas


 -Original Message-
 From: [EMAIL PROTECTED]
 [mailto:[EMAIL PROTECTED] On Behalf Of Randy George
 Sent: Wednesday, February 27, 2008 5:12 PM
 To: Discuss@lists.osgeo.org
 Subject: [OSGeo-Discuss] RE: OGC WPS and Amazon SQS

 I noticed OGC finalized the WPS spec:
 http://www.opengeospatial.org/pressroom/pressreleases/843



 Does anyone know of projects working on WPS implementations?



 The goal of WPS is apparently to provide a consistent
 framework for interchangeable service process algorithms that
 can potentially be chained together into answers to higher
 level questions than the typical 'what', 'when', and 'where.'
 Dealing with 'why', 'how much', and 'what if' modeling
 usually requires a process pipeline for convolutions, boolean
 band operations, and summary pixel calculations, all of which
 are cpu cycle intense, especially for large imagery sets. In
 fact cpu usage issues would make the usual service approach
 prohibitive.  Even the little I have worked on JAI pipelines
 shows me the futility of a one cpu to many service requests
 approach for WPS.



 However, looking at the AWS Simple Queue Service, SQS
 http://www.amazon.com/Simple-Queue-Service-home-page/b/ref=sc_
 fe_l_2?ie=UTF8node=13584001no=3435361me=A36L942TSJ2AJA,
 some interesting possibilities come to mind.

 Locking message queues with AMI instance pools is essentially
 a poor man's supercomputer. It would be interesting to look
 at harnessing the utility computing concept with instance
 pools available for each stage in a process pipeline
 connected using the asynchronous SQS service. This is a more
 or less controlled 'distributed computing model' applied to WPS.

 Ref here for some examples of existing distributed computing
 projects: http://distributedcomputing.info/projects.html



 Here are a couple possible approaches to a WPS service model
 that might overcome the cpu bottle neck:

 1)  Sequential SQS pipeline with dedicated instance for
 each process node - this would work best for operations
 amenable to a streaming pipeline - Boolean band operations or
 pixel summary operations for instance



 2)  Distributed computing model with a chunk server
 feeding a pipeline and an array pool of instances processing
 the chunks coming down the SQS queue - this would be better
 suited to tiled operations



 WPS is great when someone else provides the service. I
 imagine it would be very interesting to the academic
 scientific world and government groups tasked with providing
 access to all the myriad imagery coming off space sensor platforms.



 Just thinking out loud.   More thoughts here:
 http://www.cadmaps.com/gisblog/?p=28



 randy





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Re: [OSGeo-Discuss] RE: OGC WPS and Amazon SQS

2008-02-29 Thread Gao Ang
I've tried 52North WPS service in Netbeans and it's modified JUMP client
It looks great in my computer : )
Thanks, Andreas

On Fri, Feb 29, 2008 at 10:40 PM, Andreas Wytzisk (52north) 
[EMAIL PROTECTED] wrote:

 Hi Randy,
 52°North (http://www.52north.org) is working on an WPS Framework
 Implementation. Please find details at
 http://52north.org/joomla//index.php?option=com_projectstask=showProjectid=21Itemid=127

 Best regards,
 Andreas


  -Original Message-
  From: [EMAIL PROTECTED]
  [mailto:[EMAIL PROTECTED] On Behalf Of Randy George
  Sent: Wednesday, February 27, 2008 5:12 PM
  To: Discuss@lists.osgeo.org
  Subject: [OSGeo-Discuss] RE: OGC WPS and Amazon SQS
 
  I noticed OGC finalized the WPS spec:
  http://www.opengeospatial.org/pressroom/pressreleases/843
 
 
 
  Does anyone know of projects working on WPS implementations?
 
 
 
  The goal of WPS is apparently to provide a consistent
  framework for interchangeable service process algorithms that
  can potentially be chained together into answers to higher
  level questions than the typical 'what', 'when', and 'where.'
  Dealing with 'why', 'how much', and 'what if' modeling
  usually requires a process pipeline for convolutions, boolean
  band operations, and summary pixel calculations, all of which
  are cpu cycle intense, especially for large imagery sets. In
  fact cpu usage issues would make the usual service approach
  prohibitive.  Even the little I have worked on JAI pipelines
  shows me the futility of a one cpu to many service requests
  approach for WPS.
 
 
 
  However, looking at the AWS Simple Queue Service, SQS
  http://www.amazon.com/Simple-Queue-Service-home-page/b/ref=sc_
  fe_l_2?ie=UTF8node=13584001no=3435361me=A36L942TSJ2AJA,
  some interesting possibilities come to mind.
 
  Locking message queues with AMI instance pools is essentially
  a poor man's supercomputer. It would be interesting to look
  at harnessing the utility computing concept with instance
  pools available for each stage in a process pipeline
  connected using the asynchronous SQS service. This is a more
  or less controlled 'distributed computing model' applied to WPS.
 
  Ref here for some examples of existing distributed computing
  projects: http://distributedcomputing.info/projects.html
 
 
 
  Here are a couple possible approaches to a WPS service model
  that might overcome the cpu bottle neck:
 
  1)  Sequential SQS pipeline with dedicated instance for
  each process node - this would work best for operations
  amenable to a streaming pipeline - Boolean band operations or
  pixel summary operations for instance
 
 
 
  2)  Distributed computing model with a chunk server
  feeding a pipeline and an array pool of instances processing
  the chunks coming down the SQS queue - this would be better
  suited to tiled operations
 
 
 
  WPS is great when someone else provides the service. I
  imagine it would be very interesting to the academic
  scientific world and government groups tasked with providing
  access to all the myriad imagery coming off space sensor platforms.
 
 
 
  Just thinking out loud.   More thoughts here:
  http://www.cadmaps.com/gisblog/?p=28
 
 
 
  randy
 
 
 
 

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Re: [OSGeo-Discuss] OSGeo Buttons

2008-02-29 Thread Daniel Ames
Tyler et al,

I just ran across this previous post about specialized OSGeo logos for
members, supporters, etc. to place on their respective web sites. Not sure
if there is still such a need, but here is an attempt:

http://www.hydromap.com/download/OSGeoMemberLogos.zip

Dan

On Wed, Oct 17, 2007 at 10:42 AM, Tyler Mitchell (OSGeo) 
[EMAIL PROTECTED] wrote:


 On 17-Oct-07, at 2:53 AM, Mateusz Loskot wrote:

  Hi,
 
  Do we have anything like official OSGeo banners or buttons
  members can put on their website?

 Not really, but we do have need for a few different variations of
 them. They can built on top of the OSGeo logos (http://osgeo.org/logos)

 Specifically I've been wanting to have ones for:
 * Member
 * Charter Member
 * Supporter
 * Sponsor
 and probably some more...

  Any volunteers to do up some prototype buttons or badge graphics?  :)

 Tyler
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-- 
Daniel P. Ames, PhD, PE
Geospatial Software lab
Department of Geosciences
Idaho State University - Idaho Falls
[EMAIL PROTECTED]
www.hydromap.com
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Re: [OSGeo-Discuss] RE: OGC WPS and Amazon SQS

2008-02-29 Thread Jachym Cepicky
THere is also pywps project

http://pywps.wald.intevation.org

with direct support for grass gis

jachym

Randy George píše v St 27. 02. 2008 v 09:11 -0700:
 I noticed OGC finalized the WPS spec:
 http://www.opengeospatial.org/pressroom/pressreleases/843
 
  
 
 Does anyone know of projects working on WPS implementations?
 
  
 
 The goal of WPS is apparently to provide a consistent framework for
 interchangeable service process algorithms that can potentially be
 chained together into answers to higher level questions than the
 typical ‘what’, ‘when’, and ‘where.’ Dealing with ‘why’, ‘how much’,
 and ‘what if’ modeling usually requires a process pipeline for
 convolutions, boolean band operations, and summary pixel calculations,
 all of which are cpu cycle intense, especially for large imagery sets.
 In fact cpu usage issues would make the usual service approach
 prohibitive.  Even the little I have worked on JAI pipelines shows me
 the futility of a one cpu to many service requests approach for WPS.
 
  
 
 However, looking at the AWS Simple Queue Service, SQS
 http://www.amazon.com/Simple-Queue-Service-home-page/b/ref=sc_fe_l_2?ie=UTF8node=13584001no=3435361me=A36L942TSJ2AJA,
  some interesting possibilities come to mind.
 
 Locking message queues with AMI instance pools is essentially a poor
 man’s supercomputer. It would be interesting to look at harnessing the
 utility computing concept with instance pools available for each stage
 in a process pipeline connected using the asynchronous SQS service.
 This is a more or less controlled ‘distributed computing model’
 applied to WPS. 
 
 Ref here for some examples of existing distributed computing projects:
 http://distributedcomputing.info/projects.html 
 
  
 
 Here are a couple possible approaches to a WPS service model that
 might overcome the cpu bottle neck:
 
 1) Sequential SQS pipeline with dedicated instance for each
 process node - this would work best for operations amenable to a
 streaming pipeline – Boolean band operations or pixel summary
 operations for instance 
 
  
 
 2) Distributed computing model with a chunk server feeding a
 pipeline and an array pool of instances processing the chunks coming
 down the SQS queue – this would be better suited to tiled operations 
 
  
 
 WPS is great when someone else provides the service. I imagine it
 would be very interesting to the academic scientific world and
 government groups tasked with providing access to all the myriad
 imagery coming off space sensor platforms. 
 
  
 
 Just thinking out loud.   More thoughts here:
  http://www.cadmaps.com/gisblog/?p=28
 
  
 
 randy
 
  
 
 
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e-mail: jachym.cepicky gmail com
URL: http://les-ejk.cz
GPG: http://www.les-ejk.cz/pgp/jachym_cepicky-gpg.pub


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