| 摘 要: 云任务调度对网络安全要求高，开展云任务调度中也需要在单位时间内进行大量数据的运算。在此基础 上文章重点探讨粒子群算法在云任务调度中的使用模式，以及网络安全系统设计开展流程，提出应用粒子群算法构建出 模拟自然候鸟迁徙的云任务处理框架，可作为云任务调度高效实现的参照。 |
| 关键词: 云任务调度；粒子群算法；网络安全系统；系统设计 |
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中图分类号: TP301
文献标识码: A
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| Research on the Network Security System Design Based on Cloud Task Scheduling and Particle Swarm Optimization |
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LI Gen
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( Department of Computer Application Technology, Guangdong College of Business and Technology, Zhaoqing 526020, China)
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| Abstract: Cloud task scheduling requires high network security.In cloud task scheduling,it is also necessary to carry out a large amount of data in unit time.On this basis,the paper focuses on the application mode of particle swarm optimization in cloud task scheduling,and the design process of the network security system,and proposes the application of Particle Swarm Optimization (PSO) to build a cloud task processing framework to simulate the migration of natural migratory birds,which can be used as reference for efficient implementation of cloud task scheduling. |
| Keywords: cloud task scheduling;Particle Swarm Optimization;network security system;system design |
