Hi again,
Another announcement follow-up to a similar earlier post - our server production instance for in-situ observations aggregation and data management(XEXNIAVM) which was built on top of the November 2008 GISVM distribution is now also available as an Amazon Machine Image(AMI) for running on Amazon Web Services Elastic Cloud Computing (EC2).
AMI ID = ami-9028caf9
Server virtualization allows developers to more quickly and easily package,share and scale our working tool and code development environments with others.
I've documented the technical path to creating the AMI at
http://code.google.com/p/xenia/wiki/VMwareInstall#Amazon_Web_Services To instantiate this server instance, you will need to create a credit-
card based account which Amazon can bill the server charges to. The
pricing fees are listed at
http://aws.amazon.com/ec2/#pricing and the
default basic server is currently billed at 8.5 cents per hour or
about $2 per day. Server monitoring can also be enabled for 1.5 cents
per hour.
Documentation on the setup and utilization of this AMI package is at
http://code.google.com/p/xenia/wiki/AmazonWebServices This server instance is an Ubuntu 8.10 version based OS, which uses
previously developed scripts(perl mostly) to support a variety of
output formats and web services
http://code.google.com/p/xenia/wiki/VMwareProducts from a source relational database(PostgreSQL+PostGIS, schema label is
'Xenia'). The current aggregation datatype focus is in-situ data
(buoys,stations,drifters,gliders,etc).
The intented usage of this server image would be that a data provider
would only have to instantiate and setup the initial image and know
how to get data into the database via ObsKML(XML) or SQL directly and would automatically have several formats,services and tools readily
available for data management and sharing. The image(s)/appliances
should be an ongoing production development snapshot of what we're
doing within Secoora
http://secoora.org made available to the
observing community. Glad to incorporate scripts/documentation which
leverage the xenia RDB schema directly or more generally abstracted
database view/resultset scripts which utilize those data elements
captured by the xenia schema.
Also documented some project and publication links at the Calit2
website
http://code.google.com/p/xenia/wiki/XeniaHome#Calit2 which are the technical leads on the OOI(Ocean Observing Initiative) project and also reference Amazon EC2 cloud computing heavily also - if anyone has openly available links to Calit2's open-source project code, documentation or available AMI
images(or other observation-oriented AMI's) I would be interested in having a look and comparing,
especially as regards near real-time in-situ observations.
Thanks
Jeremy
