权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

CNS Core: Small: Flexible Spectrum Allocation in Next-Generation Optical Networks

CNS 核心：小型：下一代光网络中的灵活频谱分配

基本信息

批准号：
2008530
负责人：
Vinod Vokkarane
金额：
$ 35万
依托单位：
University of Massachusetts Lowell
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2008530&HistoricalAwards=false
关键词：
CNS Core Small Flexible Spectrum

项目摘要

High-speed optical core networks have become essential for supporting large-scale data transfers over long distances with low latency and high throughput. In recent years new technologies have emerged that provide for a significant increase in network bandwidth and more flexibility in how that bandwidth is used. For example, the development of Elastic Optical Networks (EONs) has introduced bandwidth-variable switching and dynamic spectrum resizing. Similarly, the paradigm of Space Division Multiplexed (SDM) optical networks has the potential to multiply the line rate of each network link. Even with support from such technologies, the growth of scientific applications and cloud services demands that the technologies be intelligently harnessed to make the most of the bandwidth available. The recipe for success, then, calls for not merely the employment of inherently fast networks with tremendous bandwidth availability, but also smart and efficient resource allocation. This project focuses on that challenge: developing novel flexible resource allocation strategies across multiple resource domains in order to efficiently and successfully provision core networks for future extreme-scale applications.The research project will conduct a comprehensive investigation into the benefits of combining resource assignment flexibility in emerging network technologies. It will establish a baseline against which improvement in flexible allocation algorithms may be developed and evaluated. The specific research objectives of this project are to: 1. Investigate the flexibility enhancements inherent to emerging optical network technologies, such as temporal flexibility, spatial flexibility, and spectral flexibility, and their impact on resource efficiency in Elastic Optical Networks.2. Extend the flexible resource allocation techniques to next-generation SDM-EON with careful consideration to the additional degree of core flexibility.3. Investigate coordinated Routing, Modulation, Core, and Spectrum Assignment algorithms that incorporate lightpath switching, lightpath segmentation, and delayed spectrum allocation. 4. Perform an in-depth analysis of the proposed techniques for both EON and SDM-EON architectures in terms of hardware cost-benefit and algorithm complexity.The project has the potential to have direct impact on research networks supporting the Extreme-Scale Science Community. Participation of women and URM will be encouraged through the UMass Lowell Urban Massachusetts Louis Stokes Alliance for Minority Participation scholars program and through the NSF REU program.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.

高速光核心网络对于以低延迟和高吞吐量支持长距离大规模数据传输至关重要。近年来，出现了新技术，这些新技术提供了网络带宽的显著增加以及带宽使用方式的更大灵活性。例如，弹性光网络（EON）的发展已经引入了带宽可变交换和动态频谱交换。类似地，空分复用（SDM）光网络的范例具有倍增每个网络链路的线路速率的潜力。即使有这些技术的支持，科学应用和云服务的增长也需要智能地利用这些技术来充分利用可用带宽。因此，成功的秘诀不仅需要使用具有巨大带宽可用性的固有快速网络，还需要智能和有效的资源分配。本研究课题的重点是，为了在未来的超大规模应用中高效、成功地配置核心网络，开发跨多个资源域的新型灵活资源分配策略。本研究课题将对新兴网络技术中资源分配灵活性的优势进行全面研究。它将建立一个基线，据此可以制定和评价灵活分配算法的改进。本课题的具体研究目标是：1.研究新兴光网络技术固有的灵活性增强，如时间灵活性、空间灵活性和频谱灵活性，以及它们对弹性光网络资源效率的影响。2.将灵活的资源分配技术扩展到下一代SDM-EON，并仔细考虑内核灵活性的额外程度.研究协调的路由、调制、核心和频谱分配算法，这些算法包括光路切换、光路分段和延迟频谱分配。4.从硬件成本效益和算法复杂性方面对EON和SDM-EON架构的拟议技术进行深入分析。该项目有可能对支持极端规模科学社区的研究网络产生直接影响。通过马萨诸塞大学洛厄尔分校马萨诸塞州路易斯·斯托克斯少数民族参与学者联盟计划和NSF REU计划，将鼓励妇女和URM的参与。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。