Extraction and filtration of dynamic information for multi-host concurrence system
DU Kuan-li · Systems engineering and electronics · 2006
For the complexity of multi-host concurrence system,in order to help users comprehend a concurrence system at all aspects and levels,it is necessary to reversely extract the dynamic information,which can reflect holistic behavioral features of the concurrence software system.The problem of dynamic information extraction in the process view is studied,and an approach to extracting dynamic information from multi-host concurrence system is brought forward.Based on the instrumental mechanism and shared memory,dynamic information can be obtained.Then,the information is organized,gathered and filtrated by the taxonomic category.Finally,a case study is given to verify this approach.The experimental results show that the extracted dynamic information is correct,effective and can reflect the structure of the multi-host concurrence system in detail at the process level.