Simulation Modeling Environment for Complex Data-Driven Distributed Systems Design
A methodology is presented for data-driven distributed application development. It is based on proprietary object-attribute model of the computational process and data organization, which allows for modeling parallel processes according to the dataflow computation principle and for synthesis and modification data structures durectly in the simuklation process. We propose a new formalization framework for specification and analysis of dataflow applications that combines the object-attribute approach to describe the data synthesis and modifications, the KPN to describe the parallel dataflow computational process, and the theory of automatons to describe the operation of separate FUs in application. The proposed methodology is realized as an object-attribute programming and simulation environment shich is based and built upon a proprietary object-attribute parallel programming language.