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基于机器学习的云计算资源分配算法研究 被引量:2

Research on Cloud Computing Resource Allocation Algorithm Based on Machine Learning
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摘要 云计算是当前流行的计算模式,而云计算资源分配是云计算系统的关键。文章基于机器学习的云计算资源分配算法研究,通过机器学习算法来识别工作负载,评估资源分配,从而调度资源。实验结果表明,基于机器学习的云计算资源分配算法不仅保证了各节点负载均衡,还提高了云计算集群的稳定性。 Cloud computing is currently the most popular computing mode,and cloud computing resource allocation is the key to cloud computing systems.This article conducts research on cloud computing resource allocation algorithms based on machine learning.Machine learning algorithms are used to identify fewer workloads,make optimal evaluations of resource allocation,and effectively schedule resources.The experimental results show that the cloud computing resource allocation algorithm based on machine learning ensures load balancing among nodes and improves the stability of cloud computing clusters.
作者 钟潇柔 ZHONG Xiaorou(Xinxiang College,Xinxiang Henan 453003,China)
机构地区 新乡学院
出处 《信息与电脑》 2023年第12期108-110,共3页 Information & Computer
关键词 云计算 机器学习 资源分配 负载均衡 cloud computing machine learning resource allocation load balancing
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  • 1董新华,李瑞轩,周湾湾,王聪,薛正元,廖东杰.Hadoop系统性能优化与功能增强综述[J].计算机研究与发展,2013,50(S2):1-15. 被引量:70
  • 2马梁,李明,宋洁,顾军华.进程代数在性能评价中的应用研究[J].河北工业大学学报,2006,35(4):35-39. 被引量:2
  • 3Han J W, Kamber M. Data mining: concepts and techniques [M]. San Francisco, US: Morgan Kaufmann, 2001.
  • 4Buyya R, Yeo C S, Venugopal S. Market-oriented cloud computing: vision,hype, and reality for delivering IT services as computing utilities, Keynote Paper [C] // Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications. Dalian, China, 2009 :25-27.
  • 5Armbrust M, Fox A. Above the clouds: a Berkeley view of cloud computing[R]. USA: University of California at Berkeley, 2009.
  • 6Erdogmus H. Cloud computing., does nirvana hide behind the nebula[J]. IEEE Software, 2009,26 (2) : 4-6.
  • 7Ghemawat S,Gobioff H, Leung S. The google file system[J].S ACM SIGOPS Operating Systems Review, 2003,37 (5) : 29-43.
  • 8Dean J, Ghemawat S. MapReduce: simplified data processing on large clusters [C] /// Proceedings of Operating Systems Design and Implementation. San Franciseo, CA, 2004 : 137-150.
  • 9Xu X W, Jager J, Kriegel H P. A fast parallel clustering algorithm for large spatial databases[J]. Data Mining and Knowledge Discovery,1999,3(3) :263-290.
  • 10郑纬民.云计算的大幕已经拉开.中国计算机学会通讯,2009,5(6):6-7.

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