Evolution-Based Semantic Relationships in Internet-ware Architecture

Evolution characteristic is an importance property of internet ware, and internet ware architecture (IWA) is considered high-level abstraction of the interrelation between components on internet ware. The software functions and properties are embodied through semantic relation of IWA, and the transition of internet ware function and property is described by IWA evolution. In this paper, the temporal logic of semanticrelation inner-component and between components is expressed by semantic relation protocol items. Based on this, the semantic relation model, semantic relation matrix and semantic relation link matrix of IWA are built, and their characteristics are analyzed, the conceptions of semantic relation index, semantic relation link index, semantic relation link influence domain, and semantic relation component influence domain are proposed, then different IWA evolution are described. To accurately calculate the quantitative index of affect on IWA evolution, an algorithm is designed to calculate semantics relation link influence domain and semantics relation component influence domain of component C_i. And based on different evolution when considering the feature of strong and weak semantic correlation, another algorithm that can calculate the influence domains is designed too. Finally a case application is included to prove the effectiveness and feasibility of this proposed approach.