Exploring Source Codes for Network Technologies

探索网络技术的源代码

• 批准号: 9909026
• 负责人: Michelle Effros
• 金额: $ 9.99万
• 依托单位: California Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-10-01 至 2001-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9909026&HistoricalAwards=false
• 关键词: Exploring; Source; Codes; Network; Technologies

Network systems and applications, including both established technologies like wireless voice networks, the internet, and video services and emerging technologies like wireless multimedia, distributed computing, and ubiquitous computing, are undergoing explosive growth. While these systems differ in many ways, a key bottleneck is common to all of them: The utility of each of these technologies is limited by the amount of information that can be sent through the corresponding network. Since bandwidth is scarce, making the best use possible of the data rates available is critical. Thus use of efficient data representations, or source codes, is imperative for maximizing system performance in network technologies. This research considers new paradigms for source coding in network systems and compares those paradigms to existing approaches. The analysis involves theoretical proof of concept, demonstration of practically achieved gains on real data sets, and development of efficient codes to achieve those gains. Current work focuses on source coding for broadcast systems. Broadcast systems play a central role in all of the above network technologies, where one system node ``broadcasts'' both common information (intended for all users) and specific information (intended for a subset of the users) to the other nodes in the network. Existing methods for source coding in broadcast systems use collections of traditional (single-transmitter, single-receiver) source codes within the (single-transmitter, multiple-receiver) broadcast system. Current work aims to demonstrate and quantify the gains achieved by abandoning this approach in favor of source codes optimized for broadcast systems.

网络系统和应用，包括诸如无线语音网络、因特网和视频服务的已建立的技术和诸如无线多媒体、分布式计算和普适计算的新兴技术，正在经历爆炸式增长。 虽然这些系统在许多方面有所不同，但它们都有一个共同的关键瓶颈：每种技术的效用都受到可以通过相应网络发送的信息量的限制。由于带宽是稀缺的，因此最大限度地利用可用的数据速率至关重要。 因此，使用有效的数据表示，或源代码，是必要的，以最大限度地提高系统性能的网络技术。 本研究考虑了网络系统中信源编码的新范式，并将这些范式与现有方法进行了比较。 分析包括概念的理论证明，在真实的数据集上实际实现的收益的演示，以及实现这些收益的有效代码的开发。 目前的工作集中在广播系统的信源编码。 广播系统在所有上述网络技术中起着中心作用，其中一个系统节点向网络中的其它节点“广播”公共信息（用于所有用户）和特定信息（用于用户子集）。 用于广播系统中的源编码的现有方法使用（单发射机、多接收机）广播系统内的传统（单发射机、单接收机）源代码的集合。 目前的工作旨在证明和量化的收益，放弃这种方法有利于源代码优化广播系统。