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EAGER: Adaptive Source Routing on GENI

EAGER: Adaptive Source Routing on GENI
EAGER:GENI 上的自适应源路由
批准号:
1050146
负责人:
Philip Godfrey
金额:
$13.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2013-08-31

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中文摘要
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英文摘要
Source controlled routing, where the edges of the network have some control over the paths taken by their packets, is a promising technique to improve network reliability and path quality. However, past studies of source-controlled routing algorithms have been based on overlay networks rather than via direct control of switches or routers---despite the performance-sensitive nature of these systems.This EAGER project is studying adaptive multipath, source-routing algorithms to improve performance for real-time applications. The experiments use GENI Alpha, which provides a unique combination of coexistence with real traffic and deep programmability, which are essential to obtain accurate results in these experiments. Thus, the results of this project will develop novel, practical and experimentally-grounded techniques to improve reliability and path quality, and it will quantitatively demonstrate the value of experimenting on GENI infrastructure by comparing with overlay-based experiments. Results will be disseminated through publications, presentations, and demos of the software.
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NeTS: Medium: SLATE: Service Layer Traffic Engineering
NSF-BSF: CNS Core: Small: Machine Learning for Real-Time Network Rate Control
NeTS: Medium: Collaborative Research: The Internet at the Speed of Light
NeTS: Medium: From Verification to Synthesis in Software Defined Networks
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