Error-Proof Process Network Model

Data flow process networks are frequently used in streaming multimedia applications. Modified Kahn process network analyzed in this paper is a kind of data flow process networks. It is a computation model in which many concurrent processes can be executed simultaneously. In real time digital signal processing applications execution time often is infinite. However failures of implementation hardware can occur. In our work dynamic run-time reconfiguration is introduced into process network which ensures hardware error handling. After dynamic reconfiguration, network execution results may become non deterministic, but this helps avoiding critical termination of network execution. In this work Error-Proof Process Network (EPPN) model is presented. EPPN is based on Kahn process network model and ensures the possibility to reconfigure network in case of hardware failure.