Calculation unloading method based on hybrid genetic algorithm in mobile edge calculation

Abstract

The invention discloses a hybrid genetic algorithm-based calculation unloading method in mobile edge calculation, which comprises the following steps: S1, establishing a system model to obtain calculation time delay of a sub-task set in each processor and transmission time delay among the processors, and determining each task layer value in the sub-task set according to a constraint relationship of the sub-task set; S2, initializing a population according to the determined task layer value and a random strategy to obtain initial population individuals of the sub-task set, performing symbol coding to obtain a task scheduling sequence, and optimizing the individuals in the initial population; S3, constructing a fitness evaluation function, and performing selection operation on individuals inthe optimized initial population; S4, constructing a crossover mechanism, and crossover individuals in the new population by using crossover operation based on a tabu table search algorithm; S5, performing mutation operation on individuals in the new population by using mutation operation based on a simulated annealing algorithm; and S6, judging whether the iteration step length is reached or not, and if not, repeating the step S3-S5; and if so, outputting a globally optimal solution.

Description

technical field [0001] The present invention relates to the field of mobile edge technology, in particular to a computing offloading method based on a hybrid genetic algorithm in mobile edge computing. Background technique [0002] With the development of the Internet of Things (IoT), there is a new wave of mobile user equipment (UE) such as smartphones and laptops. It is difficult for traditional applications to meet the growing needs of IoT-based users, such as quality of service. Recently, many novel applications have emerged and are quickly favored by users, such as real-time online games, virtual reality, etc. [0003] Although the processing power of today's mobile devices is getting stronger and stronger, mobile devices usually have limited battery capacity and cannot handle huge applications in a short period of time, which has become a bottleneck for the future development of mobile applications. Strict latency constraints have become an obstacle to running comple...

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Problems solved by technology

Although the data processing speed is fast, the network bandwidth is very limited

As data continues to

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