Data stream model
Project description
Data stream model helps developers to build "chains" of connected
computing nodes and run them.
A computing node has input/ouput sockets, and the "dsm runner"
is responsible to carry "data streams" through the "chains"
and feed "data streams" to computing nodes.
Usage:
Please read the main function in Composite.py for an example.
Notes:
1. Developers are responsible to
* build computing nodes (with i/o sockets)
2 Developers or Users are responsible to
* specify connections of computing nodes
Hints for developers:
1. Read tests in source codes to understand how to use dsm.
Start with Composite.py and Runner.py is a good idea
Limitations:
1. No loops are allowed.
2. Currently only a trivial implementation of "runner" exists. So data streams
are limited in one physical machine.
computing nodes and run them.
A computing node has input/ouput sockets, and the "dsm runner"
is responsible to carry "data streams" through the "chains"
and feed "data streams" to computing nodes.
Usage:
Please read the main function in Composite.py for an example.
Notes:
1. Developers are responsible to
* build computing nodes (with i/o sockets)
2 Developers or Users are responsible to
* specify connections of computing nodes
Hints for developers:
1. Read tests in source codes to understand how to use dsm.
Start with Composite.py and Runner.py is a good idea
Limitations:
1. No loops are allowed.
2. Currently only a trivial implementation of "runner" exists. So data streams
are limited in one physical machine.
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