Self-aware adaptable software architectural pattern based on association rule mining [articole]

Abstract

Software architecture is one of the evergreen research areas, as the technical advancement relies on the software architecture. Due to the technical advancements, most of the users possess different terminals for accessing Internet. Irrespective of the diversity in operating system and user terminal, the web service must be interoperable and compatible. Based on the kind of user terminal, the web service has to be provided without any time complexity. The performance of the architecture is claimed better, only when the appropriate web service is provided to the user without any time delay. In order to map appropriate web services for varying user terminal, this article presents a self-aware adaptable software architectural pattern that is based on association rule mining. The proposed approach does not require any prior knowledge about the system and can work on the go. The performance of this approach is analysed by varying the count of user requests and time with respect to accuracy, precision, recall, F-measure and throughput. The proposed approach proves nominal results with better dynamic mapping capability.