NeTS: JUNO2: Resilience in Next-Generation Intelligent Optical Networks

NeTS：JUNO2：下一代智能光网络的弹性

• 批准号: 1818858
• 负责人: Suresh Subramaniam
• 金额: $ 36.81万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1818858&HistoricalAwards=false
• 关键词: NeTS; JUNO2; Resilience; Next; Generation

The world's telecommunication infrastructure is dominated by fiber optics because of its tremendous bandwidth. Huge investments have been and continue to be made in that infrastructure in order to support the Internet, which is at the center of business and daily life. As demand for bandwidth grows, however, the network becomes more complex and harder to manage and protect against natural and other disasters. Network designers are therefore increasingly turning toward optical nodes composed of simple building blocks of essential functions. This project aims to equip the network infrastructure with resilience against failures, both small-scale (due to component or system degradation) and large-scale (due to disasters, for example). Resilience schemes at multiple levels, ranging from component-level to network-level to service-level, will be developed. This is a collaborative project with researchers from Nagoya University and Kagawa University in Japan. The collaboration will leverage the extensive laboratory equipment for prototyping and testing the developed technology and the close interaction with industry that the project's Japanese collaborators have. The results of the project will increase the trustworthiness of optical networks, which form the backbone of our information and communications infrastructure. The research addresses challenging problems in designing trustworthy optical networks at multiple granularities ranging from component level to network level and to service level. Cost-efficient architectures and practical and intelligent algorithms for surviving multiple failures and for providing service-level availability guarantees will be developed by leveraging multiple techniques such as machine learning and Markov decision processes. Our research objectives are to:(a) Design highly reliable optical nodes that consist of unreliable components by introducing redundancy in a cost-effective manner.(b) Design intelligent algorithms for surviving multiple failures at the network level.(c) Design trustworthy service resource management algorithms.(d) Develop a small-scale node prototype and evaluate its performance in a system testbed. This will be achieved using the laboratory facilities at the project's Japanese partner institutions. This project will enable new theory and algorithms to be incorporated into advanced graduate classes and new experimental projects to be developed for undergraduate students. The project will recruit students from underrepresented minorities, and includes extensive K-12 outreach.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.

光纤由于其巨大的带宽而在世界电信基础设施中占主导地位。为了支持处于商业和日常生活中心的互联网，已经并将继续对该基础设施进行巨额投资。然而，随着对带宽需求的增长，网络变得更加复杂，更难以管理和保护，以抵御自然灾害和其他灾害。因此，网络设计人员越来越多地转向由基本功能的简单构建块组成的光节点。该项目旨在使网络基础设施具备抵御小规模（由于组件或系统退化）和大规模（例如由于灾害）故障的能力。将制定从组件级到网络级再到服务级等多个级别的复原力计划。这是一个与日本名古屋大学和香川大学的研究人员合作的项目。该合作将利用广泛的实验室设备进行原型设计和测试开发的技术，以及该项目的日本合作者与行业的密切互动。该项目的成果将提高构成我国信息和通信基础设施骨干的光网络的可靠性。该研究解决了在从组件级到网络级和服务级的多粒度下设计可信光网络的挑战性问题。将通过利用机器学习和马尔可夫决策过程等多种技术，开发具有成本效益的体系结构和实用智能算法，以应对多次故障并提供服务级别的可用性保证。我们的研究目标是：（a）通过以具有成本效益的方式引入冗余，设计由不可靠组件组成的高度可靠的光节点。(b)设计智能算法，以在网络级别承受多个故障。(c)设计可信的服务资源管理算法。(d)开发一个小规模的节点原型，并在系统测试床中评估其性能。这将利用该项目的日本伙伴机构的实验室设施来实现。该项目将使新的理论和算法被纳入高级研究生课程，并为本科生开发新的实验项目。该项目将从代表性不足的少数民族中招募学生，并包括广泛的K-12推广。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

Design and performance evaluation of resilient optical path networks that adopt spatially-jointed flexible waveband routing

采用空间联合柔性波段路由的弹性光路网络设计与性能评估

• DOI: 10.23919/ondm51796.2021.9492351
• 发表时间: 2021
• 期刊: Optical network design and modeling
• 作者: Munakata, R;Mori, Y;Subramaniam, S;Jinno, M;Hasegawa, H
• 通讯作者: Hasegawa, H

Node architecture and design of spatially jointed flexible waveband routing optical networks

空间联合灵活波段路由光网络的节点架构与设计

• DOI: 10.1049/cp.2019.1097
• 发表时间: 2019
• 期刊: European Conference on Optical Communication
• 作者: Hasegawa, H;Subramaniam, S;Jinno, M.
• 通讯作者: Jinno, M.

Enhancing the flexibility and functionality of SCNs: demonstration of evolution toward any-core-access, nondirectional, and contentionless spatial channel cross-connects [Invited]

增强SCN的灵活性和功能：向任意核心接入、非定向和无争用空间通道交叉连接演进的演示 [邀请]

• DOI: 10.1364/jocn.423997
• 发表时间: 2021
• 期刊: Journal of Optical Communications and Networking
• 影响因子: 5
• 作者: Jinno, Masahiko;Ishikawa, Tsubasa;Kodama, Takahiro;Hasegawa, Hiroshi;Subramaniam, Suresh
• 通讯作者: Subramaniam, Suresh

Novel P-Cycle Selection Algorithms for Elastic Optical Networks

• DOI: 10.1007/978-3-030-38085-4_14
• 发表时间: 2019-05
• 作者: Rujia Zou;S. Subramaniam

DRAMA+: Disaster Management With Mitigation Awareness for Translucent Elastic Optical Networks

• DOI: 10.1109/tnsm.2022.3189362
• 发表时间: 2022-09
• 期刊: IEEE Transactions on Network and Service Management
• 影响因子: 5.3
• 作者: Rujia Zou;H. Hasegawa;M. Jinno;S. Subramaniam