RTI technology address the architectural requirements of  a truly data-centric infrastructure useful to a wide variety of software and distributed-data applications. The capabilities address the following aspects required in most critical data infrastructure applications:
1)    Performance
2)    Security
3)    Scalability
4)    Interoperability
5)    Redundancy and Reliability
6)    Reuse and Longevity

A viable data-infrastructure [today] can deliver solutions for the most critical requirements described below:
1)    Fast, highly reliable, highly available data infrastructure.  The technology is implement ed as a true peer-to-peer computer networking supporting multiply redundant nodes, applications and networks.
2)    Decoupled system design.  Data-centric design allows all network elements to work together while operating independently.  All restrictions on startup order, module interface reworking, and other [typical] technical barriers to integration are either eased or eliminated by such designs.  As Service Oriented Architecture (SOA) provide for the enterprise, this loosely-coupled design allows disparate components, built by multiple teams at different points in time to work together.  For instance, this system will seamlessly connect edge-devices to head-end servers to human-interface control stations to system health monitoring equipment.  Each can join or leave at any time; and, any module can be upgraded independently of the others without affecting the performance or availability of the total system.
3)    Fault tolerance. Modern systems must run reliably, 24 hours every day, despite unreliable networks, sporadic hardware and software failures, periodic maintenance and human errors.
4)    Interconnectivity.  The architecture must be content-aware; the transport layer itself understands the data types and basic content of the information being transmitted.  This permits intelligent filtering, routing, and interfacing.  It allows a reliable middleware (or middle-tier technology) to deliver the right data to the right place at the right time extreme network efficiencies.
5)    Scalable performance.  As new elements come online, the framework must expand without affecting performance.  Important performance metrics that will be collected and analyzed include throughput, latency, deterministic delivery, and consistency under loaded conditions.
6)    Security.  Security of the data is paramount.  Current systems are inadequately protected; this sometimes prevents managers and administrators from connecting their systems to external networks.   Security policies and security frameworks are available today and will be addressed in our reference model.  This is important within a system, and even more critical to allow inter-connected capabilities in a secured network.
7)    Safety.  The software and data infrastructure also impact safety of the system.  The system must use basic technology that is designed for Safety Critical systems where appropriate.  This "assurance" level can be certified by independent third parties and adopted by the US Government as a safe and secure system.  This eases barriers on many technical and social dimensions.

Fundamentally, the great news is that there are no technical barriers to achieving the above framework goals and implementing this data-infrastructure design today.  The technology is standards based and widely adopted in the aerospace and defense industry.
We invite you and your system architects, operations, and business management teams to engage in a preliminary discussion of various technologies and the intelligent and timely potential of this subject.
RTI's technical and business model is to provide the best solution [both best-fit technically and best-fit economically] for the most-critical aspects of modern computer network systems - the data infrastructure.  If the communications are designed properly, then the entire infrastructure becomes adaptable, flexible, and future-proof.