Abstract:

With the rapid development of various new technologies, the growing demand for computing resources has created a certain contradiction between the current limited computing resources and rigid allocation patterns. Optimizing the allocation of computing resources and improving the utilization efficiency of computing resources have become urgent priority problems to be addressed. The mimic computing system can flexibly and efficiently allocate computing resources through mechanisms such as on-demand allocation of heterogeneous resources, hardware resource pooling, and dynamic resource reconfiguration, fully leveraging the execution efficiency of computing resources and significantly enhancing the overall computing efficiency ratio. To clarify the progressiveness of the mimic computing system and its improvement in computing efficiency, this paper conducts research on the testing and evaluation system of the mimic computing system by sorting out testing and evaluation indicators, establishing testing and evaluation models, and carrying out application scenario practices.

Key words: mimic computing system, mimic computing framework, testing and evaluation system