Patent ID: 11907693
Assignee: ZHEJIANG LAB
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The job decomposition processing method for distributed computing according to claim 7, wherein a training process of the program intelligent decomposition algorithm comprises:
executing repeatedly for at least twice on a single resource for each of the functions in different programs in case of a consistent data amount, and obtaining a function feature information average value corresponding to each of the functions; and
grouping function feature information average values of different functions, and obtaining a program intelligent decomposition algorithm model based on a grouping result by using machine learning and/or a knowledge graph model to train;
wherein training data of the training process is a function feature table generated by an average value obtained by repeatedly executing functions on the single resource, and a training result is a program intelligent decomposition algorithm based on machine learning and knowledge graph model formed by grouping the function feature table.