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

高速缓存是一种很有前途的技术，它正在彻底改变传统的数据通信网络，使其从基于主机的体系结构转变为以信息为中心的体系结构。在以信息为中心的网络中，焦点是内容而不是可以检索的地方;因此，可以在整个网络的各个节点或存储单元复制和存储（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。这在物联网（IoT）应用中是可取的，其中内容是分布式的，并且延迟是至关重要的。然而，在设备存储能力和计算能力上存在严格的约束。因此，现有的缓存机制并不适合物联网领域。该项目结合了缓存的两个主要方面，即信息理论和网络，为物联网等动态和易失性网络开发实用和及时的编码缓存方案。这将使以信息为中心的网络能够充分发挥其潜力，取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变网络开发实用高效的缓存和编码方案。它开发了一个新的框架来模拟用户在动态缓存内容时的能力。这一框架使人们能够解决实际的制约因素（如存储容量和信息的新鲜度），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片中，同时保留编码机会和方案的最优性（信息论意义上）该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响进行评估，被认为值得支持审查标准。

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.