云桌面系统虚拟机调度算法
Virtual Machine Scheduling Algorithm Based on Cloud Desktop System
DOI: 10.12677/csa.2024.1411218, PDF,    科研立项经费支持
作者: 柳 岸：四川川大智胜软件股份有限公司，四川 成都；彭商濂：成都信息工程大学计算机学院，四川 成都
关键词: 云桌面系统；虚拟机调度；负载预测；动态调整；资源利用率；数据中心；Cloud Desktop System； Virtual Machine Scheduling； Load Prediction； Dynamic Adjustment； Resource Utilization Rate； Data Center
摘要: 当前云桌面系统中虚拟机调度存在效率低下、资源利用率不高、用户体验不佳等问题。针对云桌面系统中虚拟机调度的挑战，设计了一种基于负载预测和动态调整的虚拟机调度优化算法。首先利用负载预测模型对未来一段时间内虚拟机的负载情况进行预测，然后采取动态调整策略，包括虚拟机的迁移和资源调整，以实现资源的合理分配和利用。实验结果表明，该算法能够提升云桌面系统的整体性能和用户体验。
Abstract: Current virtual machine scheduling in cloud desktop systems suffers from issues such as low efficiency, suboptimal resource utilization, and poor user experience. In response to these challenges, a virtual machine scheduling optimization algorithm based on load prediction and dynamic adjustment is proposed. Firstly, a load prediction model is used to forecast the load of virtual machines in the near future. Then, dynamic adjustment strategies, including virtual machine migration and resource adjustment, are employed to achieve rational resource allocation and utilization. Experimental results demonstrate that this algorithm can enhance the overall performance and user experience of cloud desktop systems.
文章引用：柳岸, 彭商濂. 云桌面系统虚拟机调度算法[J]. 计算机科学与应用, 2024, 14(11): 83-90. https://doi.org/10.12677/csa.2024.1411218

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