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- Title
Task optimization scheduling algorithm of dynamic data structure in embedded system.
- Authors
DEMEI MAO; MINGZHU WANG
- Abstract
In order to realize task-optimized scheduling control of embedded data structure, this paper has studied how to optimize the scheduling algorithm of embedded system. Due to the variety of embedded data structure, the data structure features cannot be unified. In this paper, the control algorithm is mainly used to carry out scheduling control through data structure features, which is resulting in data tasks to optimize the congestion problem. To this end, this paper has proposed a task scheduling optimization algorithm of multi-parameter embedded data structure. Taking the embedded resource demand parameter and the characterization parameter of task urgency as input variables, the priority of control data task is used as output variable, and the dynamic weight algorithm is used to determine the priority of each data structure task, and the data structure task optimization scheduling control model is established in order to optimize the scheduling control of embedded data structure task. Simulation results show that the proposed method has good dynamic controllability and scheduling balance, and effectively guarantees the stability of embedded data.
- Subjects
TASK analysis; MATHEMATICAL optimization; ALGORITHMS; DYNAMIC data exchange; DATA structures; EMBEDDED computer systems
- Publication
Journal of Mines, Metals & Fuels, 2017, Issue 13, p93
- ISSN
0022-2755
- Publication type
Article