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Exploring Semantic Routed Network for Cyber Infrastructures

Exploring Semantic Routed Network for Cyber Infrastructures
探索网络基础设施的语义路由网络
批准号:
0823020
负责人:
Rabi Mahapatra
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-04-15 至 2010-09-30

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中文摘要
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英文摘要
Intellectual MeritThis proposal intends to design algorithms and protocols for a Semantic Routed Network for sensor data based cyber infrastructure. This project will design technologies (protocols and algorithms) that support high-level resource (data/service) discovery in sensor networks and data archives. The novel aspects of this proposal include mechanism for easy and automatic discovery of sensors for variety of tasks. This will enable easy manipulation of sensor data, services and data archives in an intelligent cyber infrastructure. Many useful and interesting sensor based applications and cyber physical systems would be possible if such an intelligent cyber infrastructure is available.Broader ImpactA vision of this project is to increase the potential user community for atmospheric and earth science sensor data by removing the need of device level understanding about how to identify useful sensors and use them. When successful, the increased access to these sensors and data resources will enhance scientific productivity and improve decision making regarding public utilities and services. Observing any phenomena or collecting any information with sensors will be as easy as searching the internet, querying a database, or as economical as putting up a web application on the internet. Additionally, the technical material developed here will be integrated in Computer Science courses on Networking, and Hardware-Software Codesign. Undergraduate and minority students will benefit from exposure to these novel technologies
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会议论文
Collaborative Research: CCLI (Exploratory): Introduction of Nanoelectronics Courses in Undergraduate Computer Science and Computer Engineering Curricula
Collaborative Research: A Comprehensive Methodology for Early Power-Performance Estimation of Nano-CMOS Digital Systems
Power-Aware Resource Management in Densely Packaged Distributed Real-Time Embedded Systems
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