Method for determining optimal computing and storing path of computing power network and monitoring apparatus

A method for determining an optimal computing and storing path of a computing power network, comprising:

• determining a time efficacy microscopic state of the computing and storing path of the computing power network according to a distributed topological structure corresponding to the computing power network to determine a maximum time efficacy entropy;
• determining a minimal time efficacy entropy according to a total time efficacy entropy and the maximum time efficacy entropy of the computing and storing path of the computing power network, and determining a maximum time efficacy of an information stream of the computing and storing path of the computing power network according to the minimal time efficacy entropy;
• determining a total mass entropy according to a connection span of the computing and storing path of the computing power network, and determining a maximum mass entropy according to a mass microscopic state of the computing and storing path of the computing power network;
• determining a minimal mass entropy according to the total mass entropy and the maximum mass entropy, and determining an optimal mass of the information stream of the computing and storing path of the computing power network according to the minimal mass entropy;
• and
• determining a joint optimization degree of the information stream of the computing and storing path of the computing power network according to the maximum time efficacy, the optimal mass, and set weight coefficients, and determining an optimal computing and storing path of the computing power network according to the joint optimization degree.