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Enabling intent to configure scientific networks for high performance demands

机译：能够配置科学网络以满足高性能需求

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AbstractGlobally distributed scientific experiments involve movement of massive data volumes and many collaborators performing distributed data analysis. With complex workloads and heterogeneous resources, each user may desire certain behavior characteristics for their network paths. In this paper, we present the iNDIRA tool, which interacts with SDN north-bound interfaces to enable intent-based networking. It provides reliable, simple, and technology-agnostic communication between users and networks. Focusing particularly on science applications, iNDIRA uses natural language processing to construct semantic RDF graphs to understand, interact, and create the required network services. The technical challenges addressed by iNDIRA are: (1) development of a high-level descriptive language to query network-application requirements, (2) provides keyword identification and condition checking based on user profiles and topology details, (3) allows user negotiation based on the current network state, and (4) integrates network provisioning and service tools used by the application. iNDIRA is implemented on the ESnet network, where it interacts with OpenNSA (aka the NSI client) and Globus data transfer tools, to build complex cross-domain network paths for heterogeneous science applications, and perform secure data transfer. We argue that iNDIRA’s approach presents users with an alternative approach to interact and communicate their network demands, allowing seamless network service integration.Highlights•Design and implement iNDIRA which can provision network resources based on user and application demands.•iNDIRA can converse with users in a natural manner, discover contexts and give responses.•iNDIRA can dynamically setup paths for heterogeneous science applications depending on application requirements.•iNDIRA automatically reserves, provisions and activates network states based on intent.•We evaluate our system based on query processing time, topology size, conflict resolution and service satisfaction.
机译： 摘要 全球分布的科学实验涉及海量数据量的移动和许多进行分布式数据分析的合作者。在复杂的工作负载和异构资源的情况下，每个用户可能希望为其网络路径提供某些行为特征。在本文中，我们介绍了iNDIRA工具，该工具与SDN北向接口进行交互以启用基于意图的网络。它在用户和网络之间提供了可靠，简单且与技术无关的通信。 iNDIRA特别关注科学应用，它使用自然语言处理来构造语义RDF图，以理解，交互和创建所需的网络服务。 iNDIRA解决的技术挑战是：（1）开发高级描述性语言以查询网络应用需求；（2）根据用户配置文件和拓扑详细信息提供关键字识别和条件检查；（3）允许基于用户协商（4）集成了应用程序使用的网络供应和服务工具。 iNDIRA在ESnet网络上实现，在该网络中它与OpenNSA（又名NSI客户端）和Globus数据传输工具进行交互，以为异构科学应用构建复杂的跨域网络路径，并执行安全的数据传输。我们认为iNDIRA的方法为用户提供了一种替代方法，可以交互和交流他们的网络需求，从而实现无缝的网络服务集成。 突出显示 •< / ce：label> 设计并实施可根据用户和应用程序需求配置网络资源的iNDIRA。 • iNDIRA可以自然地与用户交谈，发现 • iNDIRA可以根据应用程序要求为异构科学应用程序动态设置路径。 • iNDIRA自动保留，设置和激活网络状态 • 我们根据查询处理时间，拓扑大小，冲突解决方案和服务满意度评估我们的系统。

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