CNS Core: Small: New Caching Paradigms for Distributed and Dynamic Networks

CNS 核心：小型：分布式和动态网络的新缓存范例

基本信息

批准号：
2007231
负责人：
Ness Shroff
金额：
$ 50万
依托单位：
Ohio State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007231&HistoricalAwards=false
关键词：
CNS Core Small New Caching

项目摘要

Over the last few decades, Content Distribution Networks (CDNs) have been used to cache data of popular interest closer to the end-users in order to make them rapidly accessible whenever requested. This results in substantial time savings from an end-user’s perspective when retrieving popular content like video feeds. It also helps to reduce the bandwidth demands on the overall network. This is achieved by developing efficient mechanisms that employ popularity-based indicators to store or evict content from the cache memory. However, with the advent of emerging technologies such as the Internet-of-Things (IoT) and cyberphysical systems, the dynamics and requirements of networks are witnessing significant changes that call for fundamentally new caching solutions that extend beyond the purview of CDNs to the wireless edge and the end-user devices. These new networks will be composed of a large number of highly mobile devices (e.g., mobile phones) with intermittent, delay-sensitive, and personalized demand to be supported over resource-limited wireless channels. To address these new challenges, this project undertakes the task of democratizing caching by proposing a systematic methodology that encompasses the wireless edge and the end-users in the design of provably good caching strategies for increasingly dynamic and disparate networks. This project is motivated by the observation that caching within and at the endpoints of networks must differ fundamentally from each other, as well as from existing caching strategies optimized for today's CDNs. In particular, the project identifies and systematically investigates complementary scenarios that must employ different caching principles based on the position of the memory space and the nature of demand it receives. In each scenario, the project takes a holistic approach to the design to incorporate generation and demand dynamics, wireless communication capabilities and limitations, variety of uncertainties in the traffic and environment, and quality-of-service requirements. This research is multi-disciplinary and will bring together elements from queueing, scheduling, anomaly detection, coding, learning and control theories towards the design of integrated and adaptive caching solutions. This interdisciplinary research will be integrated into the curricula and will help train the next generation of engineers and academicians with the tools it takes to succeed in solving increasingly complex and challenging problems. The investigators are committed to recruit women and under-represented minority students in their research.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.

在过去的几十年中，内容分布网络（CDN）已被用来缓存流行的兴趣数据，以使最终用户更接近最终用户，以便在要求时迅速访问。从最终用户的角度来看，这可以节省大量时间，以检索视频提要（例如视频feed）的流行内容。它还有助于减少整个网络上的带宽需求。这是通过开发有效的机制来实现的，这些机制采用流行的指标来存储或驱逐缓存内存中的内容。但是，随着新兴技术（例如Things Internet（IoT）和网络物理系统）的发展，网络的动态和需求正在见证重大变化，这些变化要求从根本上进行新的缓存解决方案，这些解决方案超出了CDN的范围，这些解决方案超出了无线边缘和最终用户设备。这些新网络将由大量高度移动设备（例如，移动电话）组成，并具有间歇性，延迟敏感和个性化需求，以在资源有限的无线频道上得到支持。为了应对这些新的挑战，该项目通过提出一种系统的方法来承担民主化缓存的任务，该方法涵盖了无线边缘和最终用户，以设计适当的良好的加速策略，以越来越多地动态和散落的网络。该项目的激励是，观察到网络内部和处于网络端点的缓存必须基本上彼此不同，以及针对当今CDN优化的现有缓存策略。特别是，该项目确定并系统地研究了必须根据记忆空间的位置和所收到的需求性质采用不同的缓存原则的完整场景。在每种情况下，该项目都采取了整体方法，以结合生成和需求动态，无线通信功能和局限性，交通和环境中的各种不确定性以及服务质量要求。这项研究是多学科的，将从排队，调度，异常检测，编码，学习和控制理论来汇总综合和适应性缓存解决方案的理论。这项跨学科研究将纳入课程中，并将通过成功解决越来越复杂和挑战问题的工具来帮助培训下一代工程师和院士。调查人员致力于在其研究中招募妇女和代表性不足的少数族裔学生。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，被视为通过评估来获得珍贵的支持。