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ICE-T: RC: Multi-Domain Multi-Broker Elastic Optical Networks with Cognitive Functionalities

ICE-T：RC：具有认知功能的多域多代理弹性光网络

基本信息

批准号：
1836921
负责人：
S J Ben Yoo
金额：
$ 30万
依托单位：
University of California-Davis
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836921&HistoricalAwards=false
关键词：
ICE RC Multi Domain Broker

项目摘要

The proposed project seeks an innovative approach to the design, control and management of next generation Internet core networks. A new inter-domain networking paradigm is considered, where broker agents compete freely with each other to provide attractive inter-networking services to Autonomous Systems (ASes), while ASes also choose broker services suitable for their inter-networking needs.The project develops a market-driven multi-broker-assisted multi-domain framework that can coordinate -- in a distributed, incentivized manner - while providing complete autonomy and freedom to both brokers and ASes. Through market-driven incentives and competitions, the brokers and the ASes will pursue mutually beneficial services, which will in turn continuously spur innovative solutions and services. The new inter-domain networking architecture with multiple brokers will facilitate automated, Quality-of-Service aware, and impairment-responsive services. The project leverages cognitive functionalities based on machine learning to optimize end-to-end service provisioning. The project seeks to architect, simulate, prototype, and experiment to improve system (a) scalability, (b) end-to-end performance, (c) robustness and adaptability, and (d) manageability and coordination. The project will leverage novel and emerging cognitive techniques for dynamic traffic prediction and adaptive provisioning, quality of transmission estimation and fault detection across multiple domains. This project extends a research collaboration between the University of California, David, the Universitat Politecnica de Cataluna (UPC), Spain, and Consorzio Nazionale and Interuniversitario per le Telecomunicazioni (CNIT), Italy.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.

拟议的项目寻求一种创新的方法来设计、控制和管理下一代互联网核心网络。考虑了一种新的域间联网模式，在这种模式下，经纪人之间自由竞争，为自治系统(AS)提供有吸引力的联网服务，同时AS也选择适合他们的联网需求的经纪人服务。该项目开发了一个市场驱动的多经纪人辅助的多域框架，该框架可以以分布式、激励的方式进行协调，同时为经纪人和AS提供完全的自治和自由。通过市场驱动的激励和竞争，经纪商和ASES将追求互惠互利的服务，这反过来又将不断刺激创新的解决方案和服务。具有多个经纪人的新的域间网络架构将促进自动化、服务质量感知和损伤响应服务。该项目利用基于机器学习的认知功能来优化端到端服务提供。该项目寻求架构、模拟、原型和实验，以提高系统(A)可伸缩性，(B)端到端性能，(C)健壮性和适应性，以及(D)可管理性和协调性。该项目将利用新颖和新兴的认知技术，跨多个领域进行动态流量预测和自适应配置、传输质量评估和故障检测。该项目扩展了加州大学大卫分校、西班牙加泰罗尼亚理工大学(UPC)和意大利国家电信大学联盟(CNIT)之间的研究合作。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（14）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Exploiting Multi-Task Learning to Achieve Effective Transfer Deep Reinforcement Learning in Elastic Optical Networks

DOI：
10.1364/ofc.2020.m1b.3
发表时间：
2020-03
期刊：
2020 Optical Fiber Communications Conference and Exhibition (OFC)
影响因子：
0
作者：
Xiaoliang Chen;R. Proietti;Che-Yu Liu;Zuqing Zhu;S. Yoo
通讯作者：
Xiaoliang Chen;R. Proietti;Che-Yu Liu;Zuqing Zhu;S. Yoo

Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited]

DOI：
10.1364/jocn.409817
发表时间：
2021-01
期刊：
IEEE/OSA Journal of Optical Communications and Networking
影响因子：
0
作者：
Xiaoliang Chen;Che-Yu Liu;R. Proietti;S. Yoo
通讯作者：
Xiaoliang Chen;Che-Yu Liu;R. Proietti;S. Yoo

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks

DOI：
10.1364/ofc.2020.th3d.1
发表时间：
2020-03
期刊：
2020 Optical Fiber Communications Conference and Exhibition (OFC)
影响因子：
0
作者：
Che-Yu Liu;Xiaoliang Chen;R. Proietti;S. Yoo
通讯作者：
Che-Yu Liu;Xiaoliang Chen;R. Proietti;S. Yoo

A Multi-Task-Learning-based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks

基于多任务学习的自主光网络迁移深度强化学习设计

DOI：
10.1109/jsac.2021.3064657
发表时间：
2021
期刊：
IEEE Journal on Selected Areas in Communications
影响因子：
16.4
作者：
Chen, Xiaoliang;Proietti, Roberto;Liu, Che-Yu;Yoo, S. J.
通讯作者：
Yoo, S. J.

Hierarchical Learning for Cognitive End-to-End Service Provisioning in Multi-Domain Autonomous Optical Networks

DOI：
10.1109/jlt.2018.2883898
发表时间：
2019-01
期刊：
Journal of Lightwave Technology
影响因子：
4.7
作者：
Gengchen Liu;Kaiqi Zhang;Xiaoliang Chen;Hongbo Lu;J. Guo;Jie Yin;R. Proietti;Zuqing Zhu;
通讯作者：
Gengchen Liu;Kaiqi Zhang;Xiaoliang Chen;Hongbo Lu;J. Guo;Jie Yin;R. Proietti;Zuqing Zhu;