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: $ 40万
• 依托单位: Texas A&M Engineering Experiment Station
• 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
• 起止时间: 2012-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1149458&HistoricalAwards=false
• 关键词: CAREER; Beyond; Akamai; BitTorrent; Information

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.

最近的研究估计，大多数互联网流量都是数字内容分布，其主要组成部分是需要紧缩时间截止日期的应用程序，例如内容流和实时服务。 始终基于服务器的内容分销网络（CDN）的过高成本，以及低成本点对点（P2P）网络中缺乏服务保证，导致了对这两种系统的敏捷混合动力车的追求，这些系统试图利用每个系统的最佳作用。 这种混合动力需要跨同行，跨信息以及可用于同行的共享资源的协调，这构成了该项目的三个研究推力。 该项目的第一个目的是使用从游戏理论，学习和随机网络中得出的想法来开发系统的分析框架来实现这种协调。 目的是使用分析模型捕获大规模内容分布系统的基本属性，并通过采用此框架来绑定到文件共享，流媒体，基于云的服务以及设备对设备的无线网络等应用程序。 第二个是通过使用对系统对参与代理的价值的启示来生成确保经济可行性的处方。 最后，开发的基本分析方法通常适用于内容分布的核心问题。 分析见解将通过基于智能手机的服务器辅助P2P内容流网络验证。 更广泛的影响：该项目得到了教育和外展议程的支持，该议程旨在使学生熟悉开发的分析结果以及如何最好地将其应用于现实世界中。 一个核心组成部分是一个为老年人和一年级毕业生的学期课程，在该课程中，通过AM-Droiders Smart-Phone实验室的应用程序开发，研究经验补充了课堂教学。 外展活动包括每年为期一周的高中生夏令营以及电视节目的演示和说明性项目，其中来自多所大学（包括Prairie View A＆M，HBCU）的学生可以互动地参加。 与行业的强大合作进一步增强了该项目。