基于框架技术的通用虚拟计算平台实现方法
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摘要
通过分析已有虚拟计算环境的现状、特点及适用范围,针对聚合异构分散计算资源的需求,提出一种基于框架技术的虚拟计算环境实现方法,包括计算平台的总体框架和服务组件,以及各个组成部分之间的关系与通信方式的实现。采用服务分层设计方法优化计算服务的架构,完成对各服务组件的设计。以地震资料数据处理为例对虚拟计算平台进行实验测试,结果证明,该方法具有可行性,能够整合零散、异构的计算资源,尤其适用于性能差异明显的计算组织。
To meet the demands of heterogeneous scattered computing resources,this paper presents an implementation method of a frame-based virtual computing environment by analyzing the current situations,characteristics and application ranges of several virtual environments,including the overall framework and its service components,as well as the relationship between the various components and communication method realized.It optimizes the service architecture based on hierarchical design method,designs the service module and finally builds a virtual computing platform.Experimental results on seismic data processing shows that the method is feasible and valid,it can integrate heterogeneous scattered computing resources,and fits into different computing organization.
To meet the demands of heterogeneous scattered computing resources,this paper presents an implementation method of a frame-based virtual computing environment by analyzing the current situations,characteristics and application ranges of several virtual environments,including the overall framework and its service components,as well as the relationship between the various components and communication method realized.It optimizes the service architecture based on hierarchical design method,designs the service module and finally builds a virtual computing platform.Experimental results on seismic data processing shows that the method is feasible and valid,it can integrate heterogeneous scattered computing resources,and fits into different computing organization.
引文
[1]Lu Xicheng,Wang Huaimin.Internet-based Virtual Computing Environment:Concepts and Architecture[J].Information Sciences,2006,49(6):681-701.
[2]Bader D A,Pennington R.Cluster Computing:Applications[J].The International Journal of High Performance Computing,2001,15(2):181-185.
[3]Foster I,Kesselman C,Tuecke S.Enabling Scalable Virtual Organizations[J].International Journal of High Performance Computing Applications,2001,15(1):200-222.
[4]Mell P,Grance T.NIST Definition of Cloud Computing[Z].National Institute of Standards and Technology,2011.
[5]Nurmi D,Wolski R,Grzegorczyk C,et al.The Eucalyptus Open-source Cloud-computing System[J].2009,93(1):124-132.
[6]Johnson R,Hoeller J,Arendsen A,et al.Professional Java Development with the Spring Framework[M].[S.1.]:Wrox Press,2005.
[7]Johnson R,Hoeller J,Donald K,et al.Spring Framework Reference Document[EB/OL].(2011-10-12).http://www.Spring source.org.
[8]Ellert M,Gronager M,Konstantinov A,et al.Advanced Resource Connector Middleware for Lightweight Computational Grids[J].Future Generation Computer Systems,2007,23(2):219-240.
[9]Zhang Shufen,Zhang Shuai,Chen Xuebin,et al.Analysis and Research of Cloud Computing System Instance[C]//Proc.of the 2nd International Conference on Future Networks.[S.1.]:IEEE Press,2010:88-92.
[10]陈小军,张瑕,李军怀.多虚拟机协同计算任务的分发部署及运行框[J].应用科学学报,2011,29(5):516-520.
[11]亓雪东,李霞,梁鸿.网格并行编程方法及其在地震波场正演模拟中的应用[J].解放军理工大学学报:自然科学版,2008,9(5):502-506.
[12]李建江,舒继武,王有新,等.一种基于共享存储的叠前深度偏移并行算法[J].软件学报,2002,13(12):2231-2236.
[2]Bader D A,Pennington R.Cluster Computing:Applications[J].The International Journal of High Performance Computing,2001,15(2):181-185.
[3]Foster I,Kesselman C,Tuecke S.Enabling Scalable Virtual Organizations[J].International Journal of High Performance Computing Applications,2001,15(1):200-222.
[4]Mell P,Grance T.NIST Definition of Cloud Computing[Z].National Institute of Standards and Technology,2011.
[5]Nurmi D,Wolski R,Grzegorczyk C,et al.The Eucalyptus Open-source Cloud-computing System[J].2009,93(1):124-132.
[6]Johnson R,Hoeller J,Arendsen A,et al.Professional Java Development with the Spring Framework[M].[S.1.]:Wrox Press,2005.
[7]Johnson R,Hoeller J,Donald K,et al.Spring Framework Reference Document[EB/OL].(2011-10-12).http://www.Spring source.org.
[8]Ellert M,Gronager M,Konstantinov A,et al.Advanced Resource Connector Middleware for Lightweight Computational Grids[J].Future Generation Computer Systems,2007,23(2):219-240.
[9]Zhang Shufen,Zhang Shuai,Chen Xuebin,et al.Analysis and Research of Cloud Computing System Instance[C]//Proc.of the 2nd International Conference on Future Networks.[S.1.]:IEEE Press,2010:88-92.
[10]陈小军,张瑕,李军怀.多虚拟机协同计算任务的分发部署及运行框[J].应用科学学报,2011,29(5):516-520.
[11]亓雪东,李霞,梁鸿.网格并行编程方法及其在地震波场正演模拟中的应用[J].解放军理工大学学报:自然科学版,2008,9(5):502-506.
[12]李建江,舒继武,王有新,等.一种基于共享存储的叠前深度偏移并行算法[J].软件学报,2002,13(12):2231-2236.
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