MRI:Development of Quartzite, a Campus-wide, Terabit-Class, Field-Programmable, Hybrid Switching Instrument for Comparative Studies

MRI：开发 Quartzite，一种用于比较研究的全校园、太比特级、现场可编程、混合开关仪器

• 批准号: 0421555
• 负责人: Philip Papadopoulos
• 金额: $ 115.44万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0421555&HistoricalAwards=false
• 关键词: MRI; Development; Quartzite; Campus; wide

This project, building a campus wide ultra high-speed optical fiber network that supports scientific application and experiments of high volume data, develops an experimental next-generation instrument to efficiently investigate and compare campus-scale terabit-class lambda network architectures that span from optical-circuits-only to packet-switched-only networks (and a range of hybrid combinations in between). Current commercial approaches to storage systems do not scale in either performance levels or data abstractions. The proposed approach builds on the foundation of the shared-nothing compute cluster emerging from data systems, visualization walls, and high-end instrument interfaces, having raw horsepower to serve and ingest high volumes of data required by applications. Constructing a next generation switch for simultaneously switching 10Gbs streams efficiently, the work aims at building a 21st century photonic instrument to explore the practical tradeoffs of network and application design in bandwidth-rich infrastructure. Supporting large scientific problems and enabling big simulations, the project constructs Quartzite, the experimental, next-generation instrument. While fostering comparative studies, Quartzite, a data-intensive application breadboard, enables stitching together resources, bringing them virtually in. Thus, this wavelength-selective switch creation, communication and delivery project, adds hybrid-networking structure to a unique campus-scale platform and enables the study of network architecture and application design in a band-width-rich infrastructure and the sharing of large data sets across clusters. The work involves high risk, with a promise of even higher impact, since data intensive scientific exploration can be brought into the scientists' lab, by using on-demand high-speed data flows to harness campus- to international-scale resources. The work explores the following issues: How surplus of on-demand bandwidth can be exploited by end user applications, How distributed systems can be best architected, When is a non-shared packet network needed, How should control of a hybrid fabric be handled, Can applications truly exploit a high-speed parallel infrastructure, Is dynamic reconfiguring of campus network to meet transient capacity demands practical, Is it beneficial to expose direct circuits to individual endpoints, and Do novel packet scheduling strategies for shared links dramatically improve the capacity.Broader Impact: The Quartzite-enabled comparisons will influence the network structure of future research university networks, greatly increasing the capability for data-intensive research throughout the country. Working with industrial partners, the hybrid Quartzite core system and software will service us all.

该项目建立了一个校园范围的超高速光纤网络，支持科学应用和大量数据的实验，开发了一种实验性的下一代仪器，以有效地调查和比较校园规模的太比特级lambda网络架构，从光电路到分组交换网络（以及一系列混合组合）。当前的存储系统的商业方法在性能级别或数据抽象方面都不能扩展。所提出的方法建立在数据系统、可视化墙和高端仪器接口中出现的无共享计算集群的基础上，具有原始的马力来服务和摄取应用程序所需的大量数据。构建一个下一代交换机，同时交换10 Gbs流有效，工作的目的是建立一个21世纪的世纪光子仪器，探索在带宽丰富的基础设施的网络和应用程序设计的实际权衡。该项目支持大型科学问题并实现大型模拟，构建了实验性的下一代仪器Quartzite。在促进比较研究的同时，Quartzite是一种数据密集型应用程序试验板，可以将资源拼接在一起，以虚拟方式将它们引入。因此，这个波长选择开关的创建，通信和交付项目，增加了混合网络结构，以一个独特的校园规模的平台，并使网络架构和应用程序设计的研究在一个带宽丰富的基础设施和跨集群共享大型数据集。这项工作涉及高风险，并有望产生更大的影响，因为通过使用按需高速数据流来利用校园到国际规模的资源，可以将数据密集型科学探索带入科学家的实验室。这项工作探讨了以下问题：最终用户应用程序如何利用剩余的按需带宽，如何最佳地构建分布式系统，何时需要非共享分组网络，应如何处理混合结构的控制，应用程序能否真正利用高速并行基础设施，动态重新配置园区网络以满足瞬时容量需求是否可行，它是有益的，以暴露直接电路到个别端点，并做新的数据包调度策略共享链路显着提高capacity.Broader影响：石英启用的比较将影响未来的研究型大学网络的网络结构，大大提高了全国各地的数据密集型研究的能力。与工业合作伙伴合作，混合Quartzite核心系统和软件将为我们所有人服务。