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The goal of RIAPS is to provide a run-time and design-time software environment for building applications that executes on the Smart Grid. The main distinguishing characteristic of RIAPS is the completely distributed computing model: software applications are distributed across a multitude of computing nodes on a communication network, and each node has access to local measurements and actuators. An application consists of actors that run concurrently on one node and in parallel on many nodes. The functionality of an application is realized by the network of interacting actors.
Import
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still to import
- Detailed feature descriptions, usage models (e.g. microgrid islanding and resync) from https://riaps.isis.vanderbilt.edu/Detailed roadmap at https://riaps.github.io/roadmap.html
- Publications from https://riaps.isis.vanderbilt.edu/papers.html
- Videos and tutorials from https://riaps.isis.vanderbilt.edu/demonstrations.html
Maintainers/Principal Investigators as well as Contributors list from bottom of page https://riaps.isis.vanderbilt.edu/index.html#about
Technical Information
RIAPS includes:
- Application run-time system
- A component model
- A component execution engine
- A messaging framework
- A resource and fault management framework
- A security framework
- Run-time services
- Discovery service
- Deployment service (supports resource and fault management)
- Time synchronization service
- Design-time tools
- Modeling languages for architecture and deployment
- Software generators
- Operation services
- Application deployment and control tool
- The original project website is located at: https://riaps.isis.vanderbilt.edu The website has some technical background information about the project, as well as academic papers and recorded demonstrations.
Community
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Technical Information
- RIAPS Architecture
- Project roadmap
- Code repositories via GitHub
- RIAPS Integration via GitHub
- Documentation via Github.io
- How to Contribute via Github.io
- License via GitHub.io
Community
Important Links
The information, data or work presented herein was funded in part by the Advanced Research Projects Agency - Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0000666. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.