期刊文献+

基于桌面云的计算机基础实验室建设模式研究 被引量:13

下载PDF
导出
摘要 计算机基础实验室是高校重要的教学资源,本文分析了高校计算机基础实验室的建设现状,指出了传统计算机基础实验室在使用、管理、维护、设备更新等多方面存在的问题,重点介绍了云计算与桌面云的定义与优势,并提出基于桌面云的计算机基础实验室建设架构模式,以期为建设新型的计算机基础实验室提供新途径。
作者 陈益全
出处 《兰州教育学院学报》 2015年第6期104-105,共2页 Journal of Lanzhou Institute of Education
基金 琼台师范高等专科学校校级基金项目(项目编号:QTJG201316)
  • 相关文献

参考文献6

二级参考文献50

  • 1卢大勇 陆琪 姚继锋.伯克利云计算白皮书(节选)[J].高性能计算发展与应用,2009,(1).
  • 2Buyya R, Yeo C S, Venugopal S, et al. Cloud computing and e-merging IT platforms: vision, hype, and reality for delivering computing as the 5th utility[J]. Future Generation Computer Systems,2009,25(6) :599-616.
  • 3Armbrust M, Fox A, Griffith R, et al. Above the Clouds: A Berkeley View of Cloud Computing [EB/OL]. http..//www, ee- cs. berkeley, edu/Pubs/TechRpts/2009/EECS-2009-28, html, February 2009.
  • 4Lin Wei-wei, Qi De-yu. Research on Resource Self-Organizing Model for Cloud Computing[C]// 2010 International Conference on Internet Technology and Applications. 2010:1-5.
  • 5Von L G, Wang L, Younge A J, et al. Power-Aware Scheduling of Virtual Machines in DVFS-enabled Clusters[C] ff Proc. of IEEE International Conference on Cluster Computing 2009. New Orleans, LA, USA, 2009 : 1-10.
  • 6Ge R, Feng X, Cameron K. Performance-constrained distributed dvs scheduling for scientific applications on power-aware clus ters[C]//Proceedings of the 2005 ACM/IEEE Conference on Supercomputing. IEEE Computer Society, Washington DC, USA, 2005 : 34.
  • 7Venkatachalam V, Franz M. Power reduction techniques for mi- croprocessor systems[J]. ACM Computing Surveys (CSUR), 2005,37(3) : 195-237.
  • 8Mezmaz M, MelabN, KessaciY, etal. Aparallel bi-objective hy- brid metaheuristic for energy-aware scheduling for cloud compu- ting systems[J]. Journal of Parallel and Distributed Computing (JPDC), 2011,71(11) : 1497-1508.
  • 9Lee Y C,Zomaya A Y. A novel state transitionmethod formeta- heuristic-based scheduling in heterogeneous computing systems [J]. IEEE Transactions on Parallel and Distributed Systems, 2008,19(9) : 1215-1223.
  • 10Beloglazov A, Abawajy J, Buyya R. Energy-Aware Resource Al- location Heuristics for Efficient Management of Data Centers for Cloud Computing[J]. Future Generation Computer Systems, 2012,28(5) : 755-768.

共引文献204

同被引文献56

引证文献13

二级引证文献65

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