CC-NIE Integration: Science Slices Converting Network Research Innovation into Enhanced Capability for Computational Science and Engineering at the University of Utah

CC-NIE 集成：科学切片将网络研究创新转化为犹他大学计算科学与工程的增强能力

• 批准号: 1341034
• 负责人: Thomas Cheatham
• 金额: $ 98.5万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1341034&HistoricalAwards=false
• 关键词: CC; NIE; Integration; Science; Slices

As demands on campus networks - many driven by science and engineering disciplines - intensify, traditional network management approaches are increasingly obsolete. Researchers often require network paths with higher throughput, increased security, and/or perimeter firewall bypass. Network operators traditionally have accommodated a few research users by provisioning dedicated resources. Previous approaches for addressing requests for special connectivity to regional and national facilities have not scaled well. At the University of Utah, a research team is upgrading part of the campus network with technology originally developed for a national network research testbed (NSF GENI). This "sliceable network" model allows multiple virtual networks to be established in parallel over the same equipment. Each resulting science slice may have different characteristics and may connect to distinct resources either on or off campus. This allocation scheme may incorporate computational and storage resources in addition to network paths. With hardware supporting emerging Software Defined Networking standards, these slices can be controlled to very fine granularity. This technology inherently supports dynamic slice creation to enable on-demand network resource allocation for researchers. This work provides an abstraction to insulate multiple high-intensity users cleanly in a campus network. The ensuing intellectual merit follows from applying a research focused network management approach more broadly to part of a large production environment. For broader impact, a connection to the University?s undergraduate honors residence allows this innovative cohort to interact directly with the sliced network and also pursue guided experimentation. The core software base and project-specific enhancements are available under open-source licensing.

随着对校园网络的需求（许多是由科学和工程学科驱动的）不断增加，传统的网络管理方法越来越过时。研究人员通常需要具有更高吞吐量、更高安全性和/或外围防火墙绕过的网络路径。 传统上，网络运营商通过提供专用资源来容纳一些研究用户。 以前处理与区域和国家设施的特别连接请求的办法规模不大。在犹他州大学，一个研究小组正在使用最初为国家网络研究试验台（NSF GENI）开发的技术升级校园网络的一部分。 这种“可切片网络”模型允许在同一设备上并行建立多个虚拟网络。由此产生的每个科学切片可能具有不同的特征，并可能连接到校园内外的不同资源。 除了网络路径之外，该分配方案还可以结合计算和存储资源。 通过支持新兴软件定义网络标准的硬件，可以将这些切片控制到非常精细的粒度。 该技术本质上支持动态切片创建，以便为研究人员提供按需网络资源分配。这项工作提供了一个抽象的隔离多个高强度用户干净的校园网络。随后的智力价值来自于将以研究为重点的网络管理方法更广泛地应用于大型生产环境的一部分。 为了更广泛的影响，与大学的联系？的本科生荣誉住宅允许这个创新的群体直接与切片网络互动，也追求指导实验。核心软件基础和项目特定的增强功能可在开源许可证下获得。