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ddosos

Disciplined Design of System of Systems

The Disciplined Design of Systems of Systems (ddosos) is sponsored by the Army Research Laboratory (ARL) as contract W911NF-11-2-0038 from June 12, 2011 to June 11, 2012. The project covers these areas:

1. Multiform Models of Time
The Ptolemy Project, in collaboration with ARL, will adapt Ptolemy II to provide a simulation framework that supports a multiform notion of time, where components distributed across a network can disagree about both absolute time and the passage of time. The Recipient will use the design drivers to evaluate this simulation capability.
2. Temporal Isolation
The Ptolemy Project will develop a notation and formalism for expressing unambiguously in a model the temporal properties that a system must have to work correctly. These temporal properties become correctness criteria for any implementation of the model.
3. Hybrid Models
The Ptolemy Project will use state-of-art hybrid system modeling techniques to build and collect examples from the driver problems that illustrate the pitfalls of hybrid system modeling. These examples can serve as test cases for improvements in modeling.
4. Correct Composition
The Ptolemy Project, in collaboration with ARL, will use their previously developed ontology system to develop domain-specific ontologies for the challenge problems. This exercise will highlight weaknesses and missing capabilities.
5. Linking Behaviors to Implementation
The Ptolemy Project will prototype in Ptolemy II a quantity manager mechanism that enables accurate modeling of the effects of media access control in networks.
6. Design Drivers
Distributed fuel control and power generation systems include the continuous dynamics of physical plants, discrete behaviors of event sensors, the behavior of communication networks, and the behavior of software. The Recipient will construct a series of small models that illustrate the challenges in each of the problem domains, and then compose these small models pairwise to assess the ability of existing technology to handle heterogeneous composition and to scale to reasonably large systems. The individual component models and their pairwise combination will be recorded as a set of regression tests.

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