期刊文献+

基于迁移技术的云资源动态调度策略研究 被引量:13

Research of cloud resource dynamic scheduling strategy on migration technology
下载PDF
导出
摘要 现有云资源管理平台存在着瞬时资源利用率峰值易引发迁移、动态负载效果不佳等问题。依据云资源动态调度模型,提出了有效的基于迁移技术的虚拟机动态调度算法。算法将物理节点负载与虚拟机迁移损耗评估、多次触发控制、目标节点定位三者有机结合,实现云计算数据中心高效的动态负载均衡。实验结果表明,该算法优于CloudSim的DVFS调度策略,在保证应用服务水平的同时能减少虚拟机迁移次数和物理机启用数量。 Currently, cloud resource management platform exists problems that instantaneous peak value of resource utili-zation easily leads to migration and dynamic load effect is not good. According to given cloud resources dynamic schedul-ing model, this paper proposes a virtual machine dynamic scheduling algorithm on migration technology. The algorithm combines with the physical node load evaluation and the virtual machine migration loss evaluation, multiple trigger con-trol, the destination node localization, in order to achieve an efficient dynamic load balance of a cloud computing data cen-ter. The experimental results show that compared to dynamic voltage and frequency scaling strategy of the CloudSim, the proposed algorithm ensures a better application service level.
出处 《计算机工程与应用》 CSCD 2014年第5期51-54,78,共5页 Computer Engineering and Applications
基金 国家科技支撑计划(No.2012BAH35B03)
关键词 迁移技术 云资源 动态调度 migration technology cloud recourse dynamic scheduling
  • 相关文献

参考文献15

二级参考文献193

  • 1孙瑞锋,赵政文.基于云计算的资源调度策略[J].航空计算技术,2010,40(3):103-105. 被引量:43
  • 2周文煜,陈华平,杨寿保,方君.基于虚拟机迁移的虚拟机集群资源调度[J].华中科技大学学报(自然科学版),2011,39(S1):130-133. 被引量:37
  • 3陈贵敏,贾建援,韩琪.粒子群优化算法的惯性权值递减策略研究[J].西安交通大学学报,2006,40(1):53-56. 被引量:309
  • 4Sims K. IBM introduces ready-to-use cloud computing collaboration services get clients started with cloud computing. 2007. http://www-03.ibm.com/press/us/en/pressrelease/22613.wss
  • 5Boss G, Malladi P, Quan D, Legregni L, Hall H. Cloud computing. IBM White Paper, 2007. http://download.boulder.ibm.com/ ibmdl/pub/software/dw/wes/hipods/Cloud_computing_wp_final_8Oct.pdf
  • 6Zhang YX, Zhou YZ. 4VP+: A novel meta OS approach for streaming programs in ubiquitous computing. In: Proc. of IEEE the 21st Int'l Conf. on Advanced Information Networking and Applications (AINA 2007). Los Alamitos: IEEE Computer Society, 2007. 394-403.
  • 7Zhang YX, Zhou YZ. Transparent Computing: A new paradigm for pervasive computing. In: Ma JH, Jin H, Yang LT, Tsai JJP, eds. Proc. of the 3rd Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2006). Berlin, Heidelberg: Springer-Verlag, 2006. 1-11.
  • 8Barroso LA, Dean J, Holzle U. Web search for a planet: The Google cluster architecture. IEEE Micro, 2003,23(2):22-28.
  • 9Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. Computer Networks, 1998,30(1-7): 107-117.
  • 10Ghemawat S, Gobioff H, Leung ST. The Google file system. In: Proc. of the 19th ACM Symp. on Operating Systems Principles. New York: ACM Press, 2003.29-43.

共引文献2313

同被引文献118

引证文献13

二级引证文献62

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