Container Cloud Scheduling Method Based on Improved Genetic Algorithm with Resource Constraints
Container cloud is a trend to solve lightweight deployment of applications,and its resource scheduling problem is a key technical challenge.Container cloud scheduling method based on improved genetic algorithm with resource constraints is pro-posed to address the issues of multiple imbalanced multi-objective problems in existing container scheduling algorithms and low per-formance of built-in algorithms in existing container choreography platforms.Genetic algorithm is used as the basic method,under resource constraints,the performance of genetic algorithm in solving large-scale task scheduling problems is improved by improving the initial population mode,adopting multiple selection operations,designing adaptive crossover and mutation probabilities,and optimizing objective functions.This method effectively solves the problem of low resource utilization in container cloud environ-ments,achieving CPU and Memnory load balancing and increasing task volume per unit time.
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