1. RBNB DataTurbine (Ring Buffered Network Bus )
Released under Apache 2.0 Open Source License
Solution for accessing both streaming and static data, from different vendor systems, via a common interface
Provides real high performance data streaming, 10Mb/sec, frames/sec on PCs
Supported by NASA SBIR,
15 years in development
NSF invested in supporting open-source development of the Data Turbine
SDCI project, , ~ $850K
It is one of just a handful (actually, 2) comprehensive solutions for managing streaming data

2. Motivating Projects NEON – Ecology (you’ll see a working demo)
GLEON – Hydroecology (deployed, international)
CREON – Coral reefs (development, deploy 2007)
MoveBank – Animal tracking (newly funded, NSF)
Bridges and Civil Infrastructure – Engineering (testbed status)
NEES – Earthquake Engineering (deployed)
PRAGMA – Pacific Rim Applications and Grid Middleware Assembly (deployed)

3. Integration of Heterogeneous Devices

4. More about the DataTurbine
Can be configured to feed data to several applications, including remote servers
Supports multiple types of streams: real-time monitoring, video and multimedia, telemetry, instant messages, etc. etc.
Can be accessed via URLs (e.g. can stream to browser); one can also write to the server via browser
Can be mapped as a network drive (e.g. as a “Web Folder” opened in IE), built-in support in Windows, Mac OS X, Linux, several other systems
Has a programmer API, and a developer community. .Net support available (though Java is used more often)
Has direct connection with Matlab; M-files are provided with standard distribution
Has several standard applications: rbnbAdmin, rbnbSource (signal generator), rbnbPlot, rbnbChat
Scalable: DataTurbine servers can be interconnected to handle large streams
Can manipulate the streams: fast forward or slow motion playback (TiVo-like)
Secure access to DataTurbine Server, based on user credentials (under development)
These are common streaming data infrastructure requirements

5. RBNB DataTurbine as infrastructure component
Scalable, secure, programmable, versatile for different data types and vendor interfaces, developer community, with many applications written (e.g. data viewers and plug-ins)
Typical scenarios:
CS loggers
Loggernet
CS loggers
DBMS
NI loggers
Monitoring and management apps
Other proprietary or in-house

6. DataTurbine in GLEON

7. Web sites and demos Main site: http://www.dataturbine.org
DASH demo:
Geeting RBNB: neesforge.nees.org/projects/rbnb/ 
Real-time Data Viewer (RDV):
JavaDoc: C:\Program Files\RBNB\V3.1B1\Documentation\JavaDoc\index.html

8. Requirements You need:
A computer running Linux, Windows, Unix, OSX or similar.
More importantly, it must have a working JVM, version 1.1 or later. Different brands of JVMs should be fine (e.g. Sun, IBM, Jrocket, etc)
Enough memory to hold the data you want
Enough disk to contain the archive you want
A network connection that's fast enough and reliable enough for your needs.
We like Apple minis as minimal servers. With 2GB of memory, they're fast and cheap. However, since all that matters is the JVM, you can use whatever you prefer.
In general, more memory is good. A 32-bit JVM can use up to 3.5GB, and with a 64-bit JVM you can address as much as you can afford.
If you have extreme needs, consider a 64-bit Sun box. We've had good results with their Niagara-architecture T2000.

9. Setting Up Get RBNB and install (double click Jar file)
RBNB-V3.1B1 has been successfully installed to:
C:\Program files\RBNB\V3.1B1
Usage
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To use this product, start the Web server by either:
1) WINDOWS: using the shortcut provided on the desktop.
2) LINUX/UNIX/MACOSX: by executing the script:
C:\Program files\RBNB\V3.1B1/bin/Start_WebServer.sh
Once the Web server has been started, point your Web browser to:
. . .

10. Inserting stream data in RBNB
Configure the sensors. The data sources can produce either numeric or image data.
According to RBNB Simple API (SAPI), create a program to insert stream data in RBNB server. Using simple API defined by RBNB, create a “source” program to insert the digital data values into RBNB. Documentations on SAPI and examples are included in the downloaded package (C:\Program Files\RBNB\V3.1B1\Documentation\JavaDoc\index.html)

11. Install RDV and verify data stream
Real-time Data Viewer is the usual DataTurbine client
Install it
Launch via JNLP, the Java Network Launch Protocol. This requires that you write a small XML file defining the application, command line parameters and JVM options. An example can be found at it.nees.org/software/rdv/RDV.jnlp Note that deploying this requires a Java code signing certificate and the jarsigner program; you'll have to get your own or use our signed JAR files.

12. Now, the familiar ODM part…
Setup ODM database in HIS, and insert various metadata information in it
at the moment, we automatically insert the sensor data only. Site information, sensor type information, and other appropriate fields need to be populated.
Configure the JAVA program ‘stream2db’ and run it.
The program automatically inserts data values from the RBNB into ODM database when the new data arrives in RBNB server. It needs the name mapping between the sensor channels from the RBNB and column name and table names in ODM database.
Monitor the database
Open the ODM in SQL Management Studio and edit tables. Open DataValues table and see the values that came.
Configure web services over the ODM, and DASH
We’ve done it before