Announcing Platform R

Platform R is a Software Architecture that consist of Layers of different Technologies, together providing a Complete Solution that is Extremely Cost Effective and Scalable for Businesses.

At the core of Platform R Solution is a set of Business Layer Processes based on Rule Engines that Handshake between Database Processes based on Entity Architecture and User Application Processes Modelled based on Business Requirements. The Business Processes are utilized by 'n' number of User Applications and they Interface with 'n' number of Data Processes. All Processes are Decoupled and run Asynchronously. Other components of Platform R consist of Marketing, Operations, Accounting, Administration, Security , HR, Billing, Third Party Handshaking Service, Call Center, Datawarehouse and Datamining, Reporting, Maintenance, Communication, Interprocess Synchronization, Simulation, Material Management, Grid Processing, Surveying and Engagement Processes.

The glue between these components consist of Tasks called Processors and Sweepers. Processors and Sweepers are Synchronized by Synchronization Processes. Scalability is achieved by Tuning each of these components based on throughput required for the Business and the degree of Determinism of the Model. Each component can be Scaled up or down in the Tuning Process. Achieving Scalability is often just changing certain Configuration Parameters.

Inventor Roland P John stated that he had been refining the Architecture over the past three decades through at least 20 implementations for Businesses powered by a hand full of Servers to Server Farms consisting of 100s of Servers. Success Rate is a 100% and most Implementations are still running, Some more than a decade old. Engineer in the descipline of Electrical and Electronics, Roland John has a strong background in Software Technologies and indepth knowledge and experience in Microprocessor Design, Electronic Circuit Design, understanding of the behaviour of complex systems like Aircrafts and Electronic Components where the outcome of certain inputs cannot be predicted using Deterministic Modelling.