Enabling Automated Network Services Provisioning for Cloud Based Applications Using Zero Touch Provisioning

Y. Demchenko, S. Filiposka, Raimundas Tuminauskas, A. Mishev, K. Baumann, Damir Regvart, Tony Breach
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引用次数: 12

Abstract

Modern research and education networks need to solve two major tasks: (1) providing seamless access to their users, and (2) support new scientific and collaborative applications that are becoming increasingly complex and dynamic in their scale, use of distributed resources, and required advanced networking services. Rapid deployment and automation of new network services provisioning is becoming difficult in large networks that incorporate different technologies and solutions. The task of providing seamless user experience in typically mobile and dynamically changing collaborative groups generates additional burdens for the configuration phases included in network provisioning. By introducing automation and enabling multipoint auto configuration of network devices, the Zero Touch Provisioning (ZTP) concept emerges as a possible alleviation of the complex network provisioning and infrastructure services deployment process. This paper investigates the characteristics of the ZTP model and discovers how ZTP can be used in order to enhance the services provided by the GEANT network and its associated National Research and Education Networks (NRENs) to the European research and education community. The future solution can be achieved by combining and enriching the existing provisioning models, solutions and practices available from different domains such as wireless networks, (complex) network management and operations services, and cloud based infrastructure services provisioning.
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使用零接触配置为基于云的应用程序启用自动网络服务配置
现代研究和教育网络需要解决两个主要任务:(1)为其用户提供无缝访问;(2)支持新的科学和协作应用,这些应用在规模、分布式资源的使用和高级网络服务方面变得越来越复杂和动态。在包含不同技术和解决方案的大型网络中,快速部署和自动化新网络服务供应变得越来越困难。在典型的移动和动态变化的协作组中提供无缝用户体验的任务为网络供应中包含的配置阶段带来了额外的负担。通过引入自动化和启用网络设备的多点自动配置,零接触配置(ZTP)概念可能缓解复杂的网络配置和基础设施服务部署过程。本文研究了ZTP模型的特点,并发现如何使用ZTP来增强GEANT网络及其相关的国家研究和教育网络(NRENs)向欧洲研究和教育界提供的服务。未来的解决方案可以通过组合和丰富现有的供应模型、解决方案和实践来实现,这些模型、解决方案和实践来自不同的领域,如无线网络、(复杂)网络管理和运营服务,以及基于云的基础设施服务供应。
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