Personalized edge function embedding method and system for energy harvesting environments

Abstract

The application relates to a personalized edge function embedding method and system for an energy collection environment, and belongs to the technical field of computers, and comprises the following steps: reading a serverless edge computing system model; reading an application set; calculating a key path vertex set of the application set; training a personalized perception (QoE) predictor of a user experience quality; determining a static function embedding scheme; calculating the energy of all edge servers; judging whether the energy of the edge servers is sufficient; if the static function embedding scheme is met, a dynamic freezing strategy is adopted for part of the function copies; and otherwise. Using the application, a function embedding method can be found to maximize the user experience quality under the conditions of meeting energy dynamic constraints, time constraints and reliability constraints.

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