Cloud workflow scheduling optimization method based on hierarchical adaptive intelligent calculation algorithm

Abstract

The invention discloses a cloud workflow scheduling optimization method based on a hierarchical adaptive intelligent calculation algorithm. The method comprises the following steps: obtaining scheduling information; calculating a sorting value and a hierarchical value of the task; preferentially initializing a contemporary population and elite individuals based on the hierarchy and the key activities; performing evolution: forming a new population through improved adaptive crossover mutation operation, improving the new population by adopting FBI & D and LDI methods, calculating a fitness value, and performing elite replacement and storage until an evolution termination condition is met; outputting a scheduling scheme corresponding to the elite individual; according to the method, global search can be realized from the vicinity of a better individual meeting hierarchical coding, and the efficiency of the algorithm is improved by dynamically selecting a proper genetic operation and adopting methods and strategies such as serial individual decoding based on an insertion mode, FBI & D, LDI and elite replacement and storage.

Description

technical field [0001] The present invention relates to the fields of computer technology, information technology and system engineering, in particular to a cloud workflow scheduling optimization method, more specifically, to a cloud workflow scheduling optimization method based on hierarchical adaptive intelligent computing algorithms. Background technique [0002] Workflow under the cloud computing environment, referred to as "cloud workflow", is the integration of cloud computing and workflow-related technologies. Management, supply chain management and health care and other fields have broad application prospects. In cloud workflow, there are timing constraints between tasks, and virtual machines are usually used as the smallest allocation unit of computing resources to receive and process these tasks during execution. Cloud workflow scheduling refers to how to assign tasks in the cloud workflow to appropriate virtual machines under the constraints of task timing and us...

AI Technical Summary

Problems solved by technology

[0011] In order to overcome that the quality of the heuristic method solution is usually not very high and depends on the type of workflow, combined with the heuristic semi-intelligent computing method and the incompleteness of the search space of the existing intelligent computing method based on hierarchical coding, based on the global search The intelligent calculation method will lead to the decrease of search efficiency and other shortcomings. The present invention provides a cloud workflow scheduling optimization method based on hierarchical adaptive intelligent calculation algorithm, which effectively improves the efficiency and quality of the solution.

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