Trusted Adaptive Real-time Scheduling Performance Component Design And Implementation

Nowadays, the concept of software reuse and component technology continues to develop, the greatest degree of software reuse and achieving software functionality, while achieving performance became the two major problems of concern to the industry. Especially in the medical, aerospace and some of the more stringent QoS requirements of large-scale distributed multi-tasking system, the performance, security needs were more urgent. The main purpose of this research project is to develop innovative features and performance, the performance of separate security model, and to package them in the form of components, in order to develop a high performance packaging and protection of the independence of the components.To this end, through researching the existing middleware technologies and component technology, this thesis proposed a new model of real-time adaptive resource protection RTARMM based on CCM component model and the existing QoS guarantee mechanism. At the same time, through the improvement of the original scheduling algorithm, this thesis will present a real-time scheduling algorithm into RTARMM to develop a adaptive scheduling component with real-time performance guarantees. And this thesis will make a comprehensive and detailed presentation in a typical distributed multi-tasking space flight system to verify the performance of the feasibility and effectiveness of protection components.The main contribution of this thesis is proposing the performance security component model RTARMM for distributed multi-task the system, achieving the concept of separation the performance of the functional and the development of phase. And also, achieving the components reuse in form of performance of real-time schedule strategy.Through this thesis research work, it demonstrated that in the distributed multi-task system, it indeed can be done to protect the performance and functionality of the system. And it can improve the credibility of the entire system by developing a reusable strategy to safeguard the performance.