CRII: CIF: Practical and Timely Coded Caching for Dynamic and Volatile Networks

CRII：CIF：适用于动态和易失性网络的实用且及时的编码缓存

基本信息

批准号：
1850356
负责人：
Shirin Saeedi Bidokhti
金额：
$ 17.5万
依托单位：
University of Pennsylvania
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-06-01 至 2021-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1850356&HistoricalAwards=false
关键词：
CRII CIF Practical Timely Coded

项目摘要

Caching is a promising technology that is revolutionizing traditional data communication networks from host-based to information-centric architectures. In information centric networks, the focal point is content rather than where it can be retrieved; hence, one can replicate and store (or cache) content at various nodes or storage units throughout the network so that it can be accessed faster locally without burdening the server and the global network. This is desirable in Internet of Things (IoT) applications where content is distributed, and delay is of crucial importance. However, there are stringent constraints on device storage capabilities and computational power. As such, the existing caching mechanisms do not suit IoT domains very well. This project combines two main aspects of caching, namely, information theory and networking, to develop practical and timely coded caching schemes for dynamic and volatile networks such as the IoT. This will allow information-centric networks to achieve their full potential as a replacement to conventional host-based data communication networks of today.The project will develop practical and efficient caching and coding schemes for dynamic and volatile networks such as the IoT. It develops a new framework to model capabilities of users in caching content on the fly. This framework allows one to address practical constraints (such as storage capacities and freshness of information) by bringing concepts such as Age of Information (AoI) and cache replacement techniques from network theory and queuing theory into picture while preserving coding opportunities and optimality of the schemes (in an information theoretic sense).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

缓存是一项很有前途的技术，它正在彻底改变传统的数据通信网络，从基于主机的架构转向以信息为中心的架构。在以信息为中心的网络中，焦点是内容而不是可以检索内容的地方；因此，人们可以在整个网络的各个节点或存储单元上复制和存储（或缓存）内容，以便可以在本地更快地访问内容，而不会给服务器和全球网络带来负担。这在内容分发且延迟至关重要的物联网 (IoT) 应用中是可取的。然而，设备存储能力和计算能力受到严格限制。因此，现有的缓存机制不太适合物联网领域。该项目结合了缓存的两个主要方面，即信息论和网络，为物联网等动态和易变网络开发实用且及时的编码缓存方案。这将使以信息为中心的网络充分发挥其潜力，替代当今传统的基于主机的数据通信网络。该项目将为物联网等动态和易失性网络开发实用且高效的缓存和编码方案。它开发了一个新框架来模拟用户动态缓存内容的能力。该框架允许人们通过将网络理论和排队论中的信息时代（AoI）和缓存替换技术等概念引入图像中来解决实际约束（例如存储容量和信息新鲜度），同时保留编码机会和方案的最优性（在信息论意义上）。该奖项反映了 NSF 的法定使命，并且通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。