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

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个地区网络的全国性网络仪器。DYNES将支持大型强子对撞机、其他数据密集型科学（如LIGO、虚拟天文台和其他大规模巡天）的领先项目以及更广泛的科学界的大型、远距离科学数据流。通过集成现有的和新兴的协议和软件，用于动态电路供应和调度，深入的端到端网络路径和端到系统监控，以及在全国范围内进行管理的更高级别服务，DYNES将分配和调度带宽保证的通道，以几种具有已知带宽需求的优先级数据流，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的尺寸支持许多数据传输，这些数据传输需要站点之间的总网络吞吐量为1- 20gbps，上升到40- 100gbps范围。这种能力将增强研究人员的能力。能够在大学的二级和三级中心分发、处理、访问和协作分析1到100 TB的数据集，并在大型强子对子机开始运行后实现pb规模的数据集。DYNES是基于混合动力的。由Internet2的ION服务和通过区域和州网络向美国校园的扩展组成的分组和电路体系结构。它将连接跨洋（IRNC, USLHCNet），欧洲（GÉANT），亚洲（SINET3）和拉丁美洲（RNP和ANSP）研究和教育网络。它将建立在已经单独经过现场测试和加固的现有关键开源软件组件上：DCN软件套件（OSCARS / DRAGON）、perfSONAR、UltraLight Linux内核、FDT、FDT/dCache、FDT/Hadoop和PLaNeTs。DYNES团队将与大型强子对撞机和天体物理学团体、OSG和全球大型强子对撞机计算网格（WLCG）合作，为大型强子对撞机实验以及其他如LIGO、VO和eVLBI项目提供这些能力，通过将网络提升到可靠、高性能、主动管理的组件来扩展现有的网格计算系统。未来HEP、天体物理学和引力波物理学以及其他数据密集型学科的科学项目将由DYNES？技术和全球网络伙伴关系。与CHEPREO以及针对美国和海外服务不足社区的类似教育和推广工作合作，DYNES将接触到合作机构的各种学生，包括代表性不足的群体和少数民族。这将降低障碍，并使个人研究生，本科生，博士后和教师使用DYNES来实现高吞吐量，以支持他们在许多数据密集型领域的研究。

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.