基于超算环境的面向多租户的轻量级虚拟HPC集群的设计与实现
发布时间：2018-09-01 08:38
【摘要】：为了给用户提供按需使用的HPC服务并解决用户应用部署的软件依赖性问题,在不破坏现有超大规模高性能集群管理的前提下,基于Fat-Tree网络拓扑和虚拟集群模型,通过对部分资源进行云化管理,设计并实现了一种轻量级的HPC集群交付模式。从而为面向租户需求的高性能应用提供一种云化的HPC租用服务,并解决了HPC应用软件栈的僵化问题,以易用的方式为更多的HPC租户提供服务。实验结果表明,该方法以近似物理节点的性能使HPC具备了云的按需使用的特性,并具有较为理想的植入效率。
[Abstract]:In order to provide users with on-demand HPC services and to solve the problem of software dependency of user application deployment, Fat-Tree network topology and virtual cluster model are used to solve the problem without destroying the existing super large scale and high performance cluster management. Through cloud management of some resources, a lightweight HPC cluster delivery mode is designed and implemented. Thus it can provide a cloud HPC rental service for high performance applications to meet the needs of tenants, and solve the rigid problem of HPC application stack, and provide services to more and more HPC tenants in an easy-to-use manner. The experimental results show that the proposed method can approximate the performance of physical nodes and make the HPC have the characteristics of cloud on demand, and it also has an ideal implantation efficiency.
【作者单位】： 国防科技大学计算机学院;中南大学信息科学与工程学院;
【分类号】：TP393.09
本文编号：2216659
[Abstract]:In order to provide users with on-demand HPC services and to solve the problem of software dependency of user application deployment, Fat-Tree network topology and virtual cluster model are used to solve the problem without destroying the existing super large scale and high performance cluster management. Through cloud management of some resources, a lightweight HPC cluster delivery mode is designed and implemented. Thus it can provide a cloud HPC rental service for high performance applications to meet the needs of tenants, and solve the rigid problem of HPC application stack, and provide services to more and more HPC tenants in an easy-to-use manner. The experimental results show that the proposed method can approximate the performance of physical nodes and make the HPC have the characteristics of cloud on demand, and it also has an ideal implantation efficiency.
【作者单位】： 国防科技大学计算机学院;中南大学信息科学与工程学院;
【分类号】：TP393.09
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