MRI-R2 Consortium: Development of Dynamic Network System (DYNES)

MRI-R2联盟：动态网络系统（DYNES）的开发

• 批准号: 0958998
• 负责人: Eric Boyd
• 金额: $ 174.45万
• 依托单位: INTERNET2
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958998&HistoricalAwards=false
• 关键词: MRI; R2; Consortium; Development; Dynamic

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This project will develop and deploy the Dynamic Network System (DYNES), a nationwide cyber-instrument spanning 39 US universities and 16 regional networks. DYNES will support large, long-distance scientific data flows in the LHC, other leading programs in data intensive science (such as LIGO, Virtual Observatory, and other large scale sky surveys), and the broader scientific community. By integrating existing and emerging protocols and software for dynamic circuit provisioning and scheduling, in-depth end-to-end network path and end-system monitoring, and higher level services for management on a national scale, DYNES will allocate and schedule channels with bandwidth guarantees to several classes of prioritized data flows with known bandwidth requirements, and to the largest high priority data flows, enabling scientists to utilize and share network resources effectively. DYNES is dimensioned to support many data transfers which require aggregate network throughputs between sites of 1-20 Gbps, rising to the 40-100 Gbps range. This capacity will enhance researchers? ability to distribute, process, access, and collaboratively analyze 1 to 100 TB datasets at university-based Tier2 and Tier3 centers now, and PB-scale datasets once the LHC begins operation.DYNES is based on a ?hybrid? packet and circuit architecture composed of Internet2's ION service and extensions over regional and state networks to US campuses. It will connect with transoceanic (IRNC, USLHCNet), European (GÉANT), Asian (SINET3) and Latin American (RNP and ANSP) Research and Education networks. It will build on existing key open source software components that have already been individually field-tested and hardened: DCN Software Suite (OSCARS / DRAGON), perfSONAR, UltraLight Linux kernel, FDT, FDT/dCache, FDT/Hadoop, and PLaNeTs. The DYNES team will partner with the LHC and astrophysics communities, OSG, and Worldwide LHC Computing Grid (WLCG) to deliver these capabilities to the LHC experiment as well as others such as LIGO, VO and eVLBI programs, broadening existing Grid computing systems by promoting the network to a reliable, high performance, actively managed component. Future science programs in HEP, astrophysics and gravity wave physics, and other data intensive disciplines, will be facilitated by DYNES? technologies and worldwide network partnerships. Working with CHEPREO and similar education and outreach efforts targeting under-served communities both in the US and overseas, DYNES will reach a wide variety of students at collaborating institutes including underrepresented groups and minorities. This will lower the barriers, and enable individual graduate students, undergrads, postdocs and faculty to use DYNES to achieve high throughput in support of their research in many data intensive fields.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。该项目将开发和部署动态网络系统（DYNES），这是一个覆盖美国39所大学和16个区域网络的全国性网络工具。DYNES将支持大型强子对撞机、数据密集型科学领域的其他领先项目（如LIGO、虚拟天文台和其他大规模巡天）以及更广泛的科学界的大规模、长距离科学数据流。通过集成现有和新兴的协议和软件，用于动态电路配置和调度，深入的端到端网络路径和端系统监控，以及更高级别的全国范围内的管理服务，DYNES将分配和调度具有带宽保证的信道到具有已知带宽要求的几类优先级数据流，以及最大的高优先级数据流，使科学家能够有效地利用和共享网络资源。DYNES的尺寸可以支持许多数据传输，这些数据传输要求站点之间的总网络吞吐量为1-20 Gbps，上升到40-100 Gbps范围。这种能力将提高研究人员？能够分发，处理，访问和协作分析1至100 TB的数据集在大学为基础的Tier 2和Tier 3中心现在，和PB规模的数据集，一旦大型强子对撞机开始运作。混血儿？由Internet 2的ION服务和通过地区和州网络到美国校园的扩展组成的分组和电路架构。它将连接跨洋（IRNC，USLHCNet），欧洲（GÉANT），亚洲（SINET 3）和拉丁美洲（RNP和ANSP）研究和教育网络。它将建立在已经单独进行现场测试和强化的现有关键开源软件组件之上：DCN软件套件（OSCARS / DRAGON）、perfSONAR、UltraLight Linux内核、FDT、FDT/dCache、FDT/Hadoop和PLaNet。DYNES团队将与LHC和天体物理学社区，OSG和全球LHC计算网格（WLCG）合作，为LHC实验以及LIGO，VO和eVLBI计划等提供这些功能，通过将网络提升为可靠，高性能，主动管理的组件来扩展现有的网格计算系统。未来的科学计划在HEP，天体物理学和重力波物理学，以及其他数据密集型学科，将促进DYNES？技术和全球网络伙伴关系。与CHEPREO和类似的教育和推广工作，针对服务不足的社区在美国和海外，DYNES将达到各种各样的学生在合作机构，包括代表性不足的群体和少数民族。这将降低障碍，并使个别研究生，本科生，博士后和教师使用DYNES实现高吞吐量，以支持他们在许多数据密集型领域的研究。