CC* Integration-Large: N-DISE: NDN for Data Intensive Science Experiments

该项目名为N-DISE（数据密集型科学实验数据网络），旨在加快数据密集型科学领域的突破和创新步伐，如大型强子对撞机（LHC）高能物理计划以及生物基因组和人类基因组计划。基于命名数据网络（NDN），一种以数据为中心的架构，N-DISE将部署和调试一个高效的、经过现场测试的千兆级数据分发、缓存、访问和分析系统，为主要科学项目服务。N-DISE项目将设计和开发高吞吐量缓存和转发方法、容器化技术、分层存储器管理子系统、拥塞控制机制，并与现场可编程门阵列（FPGA）加速子系统集成，以生产一个能够在广域网上以接近每秒100 gbit的吞吐量传输LHC和基因组数据的系统，同时显着减少下载时间。此外，N-DISE将利用NDN内置的数据安全支持来确保数据完整性和来源跟踪。N-DISE将利用现有的基础设施，并在参与机构建立一个增强型测试平台，其中包括四个额外的高性能NDN数据缓存服务器。N-DISE将为许多数据密集型科学和工程领域提供多领域数据分发和访问系统的现场测试工作原型，提供快速访问和低成本，以及数据完整性和来源。该项目计划每年举办研讨会和黑客马拉松，培训学生、博士后和其他研究人员关于NDN架构设计、算法以及特定数据密集型科学环境的实施方法。该项目将采取主动行动，使代表性不足的群体积极参与，并向K-12学生提供教育服务。n-dis将在https://github.com/neu-yehlab/n-dise上维护一个GitHub存储库。存储库将承载最新的出版物、代码、数据、结果和模拟器。该存储库将由团队在项目持续时间之后至少维护三年。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The project, N-DISE (Named Data Networking for Data Intensive Science Experiments), aims to accelerate the pace of breakthroughs and innovations in data-intensive science fields such as the Large Hadron Collider (LHC) high energy physics program and the BioGenome and human genome projects. Based on Named Data Networking (NDN), a data-centric architecture, N-DISE will deploy and commission a highly efficient and field-tested petascale data distribution, caching, access and analysis system serving major science programs.The N-DISE project will design and develop high-throughput caching and forwarding methods, containerization techniques, hierarchical memory management subsystems, congestion control mechanisms, integrated with Field Programmable Gate Arrays (FPGA) acceleration subsystems, to produce a system capable of delivering LHC and genomic data over a wide area network at throughputs approaching 100 Gbits per second, while significantly decreasing download time. In addition, N-DISE will utilize NDN's built-in data security support to ensure data integrity and provenance tracing. N-DISE will leverage existing infrastructure and build an enhanced testbed with four additional high performance NDN data cache servers at participating institutions.N-DISE will provide a field-tested working prototype of a multi-domain data distribution and access system offering fast access and low cost, as well as data integrity and provenance, to many data-intensive science and engineering fields. The project plans to hold annual workshops and hackathons to train students, postdocs, and other researchers on NDN architectural design, algorithms, as well as implementation methodologies for specific data-intensive science environments. The project will undertake initiatives for actively involving under-represented groups, and for educational outreach to K-12 students.N-DISE will maintain a GitHub repository at https://github.com/neu-yehlab/n-dise. The repository will host up-to-date publications, code, data, results, and simulators. The repository will be maintained by the team for at least three years beyond the duration of the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.