期刊文献+

云计算资源管理中的预测模型综述 被引量:9

Survey on prediction models in cloud resource management schemes
下载PDF
导出
摘要 为了实现云计算灵活性,动态伸缩性以及资源共享等特征,云计算系统需预知应用负载趋势,并为其分配所需资源。为实现这一目标,预测技术在云计算资源管理中必不可少。通过分析当前应用于云计算环境中的预测模型,总结了这些预测模型的特点,并在此基础上给出了基于预测技术的动态资源供应的一般流程。针对这些预测模型中存在的不足,从3个方面展望了云计算资源管理中预测模型可能的发展方向。 To deliver flexibility, scalahility and resource sharing, cloud should have foreknowledge of the workload of application and provide the resource it needs. Prediction technique is necessary to achieve this object. Some prediction models are introduced and analyzed firstly. Based on the analysis, the characters of these models are presented and a general process of dynamic re- source allocation is proposed as follows. Because of the inadequacies in these models, there list the future of prediction models from three aspects.
出处 《计算机工程与设计》 CSCD 北大核心 2013年第9期3078-3083,共6页 Computer Engineering and Design
基金 国家云计算示范工程基金项目(C73623989020220110006)
关键词 云计算 虚拟资源 预测模型 负载模式 资源管理方法 cloud computing virtual resource prediction model workload pattern resource management scheme
  • 相关文献

参考文献14

  • 1Taylor J W,de Menezes L M, McSharry P E. A comparisonof univariate methods for forecasting electricity demand up to aday ahead [J] , International Journal of Forecasting, 2006,22(1): 1-16. 被引量:1
  • 2Sorjanmaa A,Hao J, Reyhani N,et al. Methodology forlong-term prediction of time series [J] . Neurocomputing,2007, 70 (16-18): 2861-2869. 被引量:1
  • 3Roy N, Dubey A, Gokhale A. Efficient autoscaling in thecloud using predictive models for workload forecasting [C] //Washington, DC: IEEE 4th International Conference on CloudComputing. 2011 : 500-507. 被引量:1
  • 4Ardagna D, Casolari S, Panicucci B. Flexible distributed ca-pacity allocation and load redirect algorithms for cloud systems[C] //Washington, DC: IEEE 4th International Conferenceon Cloud Computing, 2011 : 163-170. 被引量:1
  • 5Guaenter B, Jain N,Williams C. Managing cost, perfor-mance . and reliability tradeoffs for energy-aware server provi-sioning [C] //Shanghai; Proceedings IEEE INFOCOM,2011: 1332-1340. 被引量:1
  • 6Chen G, He W* Liu J, et al. Energy-aware server provisio-ning and load dispatching for connection-intensive internet ser-vices [C] //Francisco, California: 5th USENIX Symposiumon Networked Systems Design and Implementation, 2008 : 337-350. 被引量:1
  • 7Gong Z, Gu X,Wilkes J. PRESS: Predictive elastic resourcescaling for cloud systems [C] //Niagara Fall: InternationalConference on Network and Service Management, 2010: 9-16. 被引量:1
  • 8Zhu Jf Gao B, Wang Z,et al. A'dynamic resource allocationalgorithm for database-as-a-service [C] //Washington, DC:IEEE International Conference on Web Services, 2011 :564-571. 被引量:1
  • 9Shen Z,Subbiah S,Gu X,et al. CloudScale: Elastic resourcescaling for multi-tenant cloud systems [C] //Cascais, Portugal:2nd ACM Symposium on Cloud Computing, 2011 : 1-14. 被引量:1
  • 10Patiala P,Hou K Y, Shin KG, et al. Automated control ofmultiple virtualized resources [C] //Nuremberg, Germany:ACM European Conference on Computer Systems, 2009:13-26. 被引量:1

同被引文献60

引证文献9

二级引证文献31

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部