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作 者:崔涛[1] 程耀东[1] Cui Tao Cheng Yaodong(Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China)
出 处:《科研信息化技术与应用》2016年第3期8-12,共5页E-science Technology & Application
基 金:国家自然科学基金项目(11575223)
摘 要:虚拟化技术是高性能计算系统规模化的关键技术。高能所计算资源虚拟实验床采用OpenS tack云平台搭建环境。本文讨论了实现虚拟计算资源与计算系统相互融合的三个关键因素:网络架构设计、环境匹配和系统总体规划。本文首先讨论了虚拟网络架构。虚拟化平台通过部署neutron组件、OVS以及802.1Q协议来实现虚拟网络和物理网络的二层直连,通过配置物理交换机实现三层转发,避免了数据经过OpenS tack网络节点转发的瓶颈。其次,虚拟计算资源要融入计算系统,需要与计算系统的各个组件进行信息的动态同步,以满足域名分配、自动化配置以及监视等系统的需要。文章介绍了自主开发的NETDB组件,该组件负责实现包括虚拟机与域名系统(DNS)、自动化安装和管理系统(puppet)以及监视系统的信息动态同步等功能;最后,在系统总体规划中,文章讨论了包括统一认证、共享存储、自动化部署、规模扩展和镜像等内容。Virtualization technology is a key technology for large-scale high-performance computing systems. IHEP computing resource virtualization test-bed is built by OpenStack cloud platform. This paper discusses the three key factors in achieving integration between the virtual computing resources and computing systems: network architecture design, environment and systems planning. First, the paper discusses the virtual network architecture. We deploy Neutron component, OVS and 802.1Q protocols in virtualization platform to achieve integration between virtual and physical networks, and configure physical switch forwarding layer-3 packet between virtual machine and physical network, avoiding data forwarding bottleneck of network node in OpenStack. Second, because virtual computing resource must be integrated into calculation system, virtual machine information should dynamically synchronize to various systems such as domain name allocation, automated provisioning, and monitoring system and so on. This paper introduces the self- developed NETDB component. It's responsible for achieving dynamic information synchronization between virtual machines and systems such as Domain Name System (DNS), automated installation and management information system (puppet) and monitoring system. Finally, the paper discusses system planning include content unified authentication, shared storage, automated deployment, images and system cascading.
分 类 号:TP393.18[自动化与计算机技术—计算机应用技术]
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