Since the early workshops, RINA-based technology has matured significantly over the past few years. There are multiple RINA stack implementations, prototypes of all the key value propositions, fully operational testbeds and test traffic generators, hackathon examples of engaged developers, and clear use cases with immediate industrial application. There are demos of how to transport RINA datagrams over existing chipsets, tunnel it under and over existing protocols, and a roadmap to exploit new capabilities like P4-programmable routers.
IOHK is a technology company commited to using peer-to-peer innovations to deliver decentralized financial services. The company is leading the Cardano project, an ambitious effort to develop a 3rd generation cryptocurrency that can solve the scalability and interoperability needs of current cryptocurrencies such as Bitcoin or Ethereum.
One goal of RINA is to distill a theory based on fundamental principles, on what the problem tells us. Largely, this has come down to finding the invariances. The RINA Reference Model describes that theory, as we now understand it. We have found that by not breaking the invariances we don’t encounter “devils in the details,” but quite the opposite, the theory tends to yield simpler results for thorny problems. But we are always testing it. Trying to uncover things we haven’t seen.