面向全局多云的编排框架

Ming Lu, Lijuan Wang, Youyan Wang, Zhicheng Fan, Yatong Feng, Xiaodong Liu, Xiaofang Zhao
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引用次数: 1

摘要

全球多云环境下的业务流程管理面临着全球云计算和应用资源集中管理、云平台和api更加多样化、服务目录差异化等诸多挑战。各国云平台之间的网络延迟和不稳定性以及不同安全级别的数据中心之间的可访问性也使得编排不容易管理。业务流程工具(如Ansible[1])对服务器端口和网络质量要求较高。在复杂网络环境下,SaltStack[2]或Puppet[3]无法处理大规模计算和存储资源节点的多云管理。对于运行在不同云计算服务提供商上的应用程序,Apache Ambari[4]缺乏有效的管理能力。因此,普通的编排管理工具很难克服这些问题。在本文中,我们提出了一个全局多云编排框架(MCOF),它将从MCOF主站发起的编排指令转换为标准化的编排定义模型,该模型通过消息队列分发给每个数据中心内的MCOF工作人员。然后由MCOF工作人员在数据中心防火墙后执行适合相应云服务提供商的编排活动,以适应复杂的云平台运行环境,实现标准化、高效、优质、可靠、可追溯的编排管理。
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An Orchestration Framework for a Global Multi-Cloud
Orchestration management in a global multi-cloud environment encounters many challenges, such as the centralized management of global cloud computing and application resources, more diverse cloud platforms and APIs, differentiated service catalogs. Network latency and instability between cloud platforms in various countries and accessibility between data centers of different security levels also makes orchestration not easy to manage. Orchestration tools, such as Ansible[1], has high requirements for many server ports and network quality. In a complex network environment, SaltStack[2] or Puppet[3], cannot deal with the multi-cloud management of large-scale computing and storage resource nodes. Apache Ambari[4], for applications that run on different cloud computing service providers, it lacks effective management capabilities. Therefore, it is difficult for common orchestration management tools to overcome these problems. In this paper, we propose a global multi-cloud orchestration framework (MCOF), which converts the orchestration instructions initiated from the MCOF master into a standardized orchestration definition model that is distributed to the MCOF workers inside each data center through the message queue. Then the MCOF workers perform the orchestration activities suitable for the corresponding cloud service provider behind the data center firewall to adapt to the complex cloud platform operating environment, and achieve standardization, efficiency, quality, reliability, and traceable orchestration management.
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