Planning Architecture of Service-oriented Systems under Uncertainty

Abstract

The relevance of the demand for intelligent service-oriented systems is presented. The perspective areas of soft architecture development of intelligent service-oriented systems are highlighted. The advantages of planning architecture of intelligent service-oriented systems are considered. The features of planning architecture of intelligent service-oriented systems under uncertainty are disclosed. The basis of models for selecting planners for intelligent service-oriented systems are formed. The key selection features are described. A neural network apparatus for architecture planner selection for service-oriented systems under uncertainty is used. The selection rules are formed.