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CAREER: Beyond Akamai and BitTorrent: Information and Decision Dynamics in Content Distribution Networks

CAREER: Beyond Akamai and BitTorrent: Information and Decision Dynamics in Content Distribution Networks
职业:超越 Akamai 和 BitTorrent:内容分发网络中的信息和决策动态
批准号:
1149458
负责人:
Srinivas Shakkottai
金额:
$40.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2018-08-31

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中文摘要
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英文摘要
Recent studies estimate that a majority of Internet traffic is digital content distribution, whose dominant component is applications that require tight time deadlines, such as content streaming and realtime services. Excessive costs of always-available server-based content distribution networks (CDNs), and a lack of service guarantees in low-cost peer-to-peer (P2P) networks have led the pursuit of agile hybrids of both systems that seek to leverage the best of each. Such a hybrid requires coordination across peers, across information, and across shared resources available to the peers, which form the three research thrusts of this project. The first objective of this project is the development of a systematic analytical framework to achieve this coordination, using ideas drawn from game theory, learning and stochastic networks. The aim is to capture the fundamental properties of large-scale content distribution systems using analytical models, and bind together applications such as file sharing, streaming, cloud-based services, and device-to-device wireless networks by employing this framework. The second is to generate prescriptions for ensuring economic viability by using revelations on the value of the system to participating agents. Finally, the basic analytical methodology developed will be applicable generally beyond the core problem of content distribution. The analytical insights will be validated via a smart-phone-based server-assisted P2P content streaming network. Broader Impact: The project is supported by an education and outreach agenda that aims at familiarizing students with analytical results developed and how best to apply them in a real-world setting. A core component is a semester-long course for seniors and first-year grads in which classroom teaching is complemented by research experience through app development at the AM-Droiders smart-phone laboratory. Outreach includes demonstrations and illustrative projects at a yearly week-long summer camp for high school students, as well as tele-seminars in which students from multiple universities (including Prairie View A&M, an HBCU) can participate interactively. The project is further enhanced by strong collaborations with industry.
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Collaborative Research: NeTS: Medium: EdgeRIC: Empowering Real-time Intelligent Control and Optimization for NextG Cellular Radio Access Networks
Collaborative Research: CPS: Medium: Empowering Prosumers in Electricity Markets Through Market Design and Learning
Collaborative Research: CNS Core: Medium: Learning to Cache and Caching to Learn in High Performance Caching Systems
I-Corps: Residential Energy Management and Analytics
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