CC-NIE Integration: Science Slices Converting Network Research Innovation into Enhanced Capability for Computational Science and Engineering at the University of Utah
CC-NIE Integration: Science Slices Converting Network Research Innovation into Enhanced Capability for Computational Science and Engineering at the University of Utah
批准号:
1341034
负责人:
Thomas Cheatham
金额:
$98.5万
依托单位:
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
项目状态:
已结题
起止时间:
2013-10-01 至 2016-09-30
中文摘要
随着人们对校园网需求的增加(其中许多是由科学和工程学科驱动的),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/或绕过外围防火墙的网络路径。传统上,网络运营商通过提供专用资源来容纳少数研究用户。以前处理与区域和国家设施的特殊连接请求的方法没有很好地扩展。在犹他大学,一个研究小组正在利用最初为国家网络研究试验台(NSF GENI)开发的技术升级部分校园网。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。每个科学切片可能有不同的特征,可能连接到不同的校内或校外资源。除了网络路径之外,这种分配方案还可以合并计算和存储资源。使用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。该技术固有地支持动态切片创建,使研究人员能够按需分配网络资源。这项工作提供了一种抽象,可以在校园网中清晰地隔离多个高强度用户。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,由此产生的智力价值。更广泛的影响,与大学的联系?S的本科荣誉住宿使这个创新的群体能够直接与切片网络互动,并进行指导实验。核心软件库和特定于项目的增强功能在开源许可下可用。
英文摘要
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.
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