A PROACTIVE ADAPTATION MODEL BASE ON RESOURCE PREDICTION

Abstract

The adaptation of the software architecture caused by the change of the software survival environment needs to be realized through the reconfiguration of the connector of the software architecture. To tackle the limitation of passive connectors, a proactive adaptation model based on resource prediction is proposed by employing Kalman filter, which realizes the modification of component connection and the dynamic configuration of the architecture, and enhances the adaptability of the target system. Three proactive adaptation strategies are proposed, and the basis of the adaptation policy is quantified by the influence factors value. After the method is applied to an actual online health assessment assistant system, the adaptability and service quality of the target system are improved.