Collaborative Research: NeTS-NBD: Intelligent and Adaptive Networking for the Next Generation Internet

合作研究：NeTS-NBD：下一代互联网的智能自适应网络

• 批准号: 0520333
• 负责人: S J Ben Yoo
• 金额: --
• 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: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0520333&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; NBD; Intelligent

This project investigates the Next Generation Network Technology and Systems capable of understanding and learning the high-level perspective of the network. The proposed approach pursues a new cognitive intelligent networking paradigm that maintains the success of today's Internet but which also incorporates cognitive intelligence in the network--a new networking technique that provides the ability for the network to know what it is being asked to do, so that it can step-by-step take care of itself as it learns more. In particular, we explore new networking architecture and network elements that will lead to a future network with (a) improved robustness and adaptability, (b) improved usability and comprehensibility, (c) improved security and stability, and (d) reduced human intervention for operation and configuration. This project pursues a set of comprehensive studies that seek innovations through the design and modeling of a new brain-reflex cognitive intelligence architecture, an intelligent programmable network elements architecture, and an intelligent network control and management design. Broader Impact: The team approach covering neuroscience, datamining, computer science, systems engineering, artificial intelligence, and networking will provide rich opportunities for students to learn beyond their primary fields of study. New courses developed by the faculty members will disseminate the new material covering neuroscience and information technology.

本项目研究能够理解和学习网络的高级视角的下一代网络技术和系统。 所提出的方法追求一种新的认知智能网络范式，该范式保持了当今互联网的成功，但也将认知智能纳入了网络-一种新的网络技术，为网络提供了知道它被要求做什么的能力，以便它可以逐步照顾自己，因为它学习更多。特别是，我们探索新的网络架构和网络元素，将导致未来的网络与（a）改进的鲁棒性和适应性，（B）改进的可用性和可理解性，（c）改进的安全性和稳定性，（d）减少人为干预的操作和配置。 该项目追求一套全面的研究，寻求创新，通过设计和建模的一个新的脑反射认知智能架构，智能可编程网络元件架构，智能网络控制和管理设计。 更广泛的影响：涵盖神经科学，数据挖掘，计算机科学，系统工程，人工智能和网络的团队方法将为学生提供丰富的学习机会，超越他们的主要研究领域。 教员开发的新课程将传播涵盖神经科学和信息技术的新材料。