Self-Managing Named Data Networks

命名数据网络（ndn）代表了未来互联网的新兴愿景，是军事和工业应用的理想选择。通过设计，ndn打破了传统的端到端、以主机为中心的通信，从而消除了当前互联网堆栈中细长的沙漏式IP腰及其伴随的安全漏洞。ndn关注的是由其内容名称唯一标识的数据包的移动，而不需要其源主机和目标主机的身份。因此，频繁请求的对象（例如，网页，流媒体和科学数据）可以缓存在路由器中，并且无需重复的每个用户传输即可交付。ndn保持一种简单的理念，将网络流量限制在内容兴趣和相应的数据包上，据说它使互联网民主化，因为任何实体都可以发布和使用数据。通过构建，它们避免了许多当前的问题，包括移动性、安全性和内容分发的高成本。充分实现ndn带来了一些障碍。为了避免重复放弃新技术（例如，IPv6）的情况，架构必须逐步部署，并与当前的基础设施共存，但最终作为一个全新的解决方案安装。此外，新出现的大数据和物联网应用，以及互联网作为可搜索内容目录的未来愿景，导致了空前大规模的引用内容命名空间、大型路由器转发表和主要的可扩展性问题。实际上，创建、查找和管理指数级增长的路由和缓存表是一个主要挑战。最后，与IP网络对服务差异化的迫切需求类似，必须开发具有高效商业模式的内容差异化。本提案旨在设计和实现一个高效的ndn自我管理架构。它利用了两项突出的技术；第一种是虚拟网络（VN）切片，用于实现隔离但并置和动态可定制的ndn的可扩展层次结构。每个切片服务于内容提供程序的智能和动态分区的子空间。ndn路由器的资源将被虚拟化和自适应切片，以应对内容供需的变化。将研究分区和资源优化技术，以实现这些网络的功能可扩展性。最后，通过使用第二种技术，即通过虚拟网络功能实现网络软件化，实现公平、应用不可知、超低延迟自适应路由以及内容和业务差异化。已开发的体系结构和算法的意义将源于它们自我进化以增强其性能或面对问题域变化的能力。

Named data networks (NDNs) represent a nascent vision for the future Internet that is ideal for military and industrial applications. By design, NDNs break from the conventional end-to-end, host-centric, communication and hence eliminate the thin hourglass IP waist in the current Internet stack and it accompanying security vulnerabilities. NDNs focus on movement of packets uniquely identified by their content names without their source and destination hosts' identities. Hence, frequently requested objects (e.g., web pages, streamed media and scientific data) can be cached in routers and delivered without repeated per-user transmissions. NDNs maintain a simple philosophy of limiting network traffic to content interest and corresponding data packets and are said to democratize the Internet since any entity can publish and consume data. By construction, they avoid many of the current problems including mobility, security and the high cost of content distribution.Full realization of NDNs poses a number of obstacles. To avoid repeated scenarios of abandoning new technologies (e.g., IPv6), architectures must be gradually deployed and co-exist with the current infrastructure, but eventually installed as a clean slate solution. Furthermore, the newly emerging big-data and Internet-of-things applications along with the futuristic vision of the Internet as a searchable content directory is leading to an unprecedentedly massive size of referenced content namespaces, large routers' forwarding tables and a major scalability issue. Indeed, creating, looking up and managing exponentially increasing routing and caching tables is a major challenge. Finally, analogous to the ever pressing need for service differentiation in IP networks, content differentiation with efficient business models must be developed.This proposal aims at designing and implementing an efficient self-management architecture for NDNs. It takes advantage of two prominent technologies; the first, virtual network (VN) slicing, is employed to achieve a scalable hierarchy of isolated but collocated and dynamically customizable NDNs. Each slice serves an intelligently and dynamically partitioned subspace of contents providers. NDNs routers' resources will be virtualized and sliced adaptively to react to changes in contents supply and demands. Partitioning and resource optimization techniques will be investigated to achieve functional scalability of these networks. Finally, through the use of the second technology, namely, network software-ization through virtual network functions, the proposed work will realize fair, application agnostic, ultra-low delay self-adaptive routing as well as content and service differentiation. The significance of the developed architecture and algorithms will stem from their ability to self-evolve to enhance their performances or to face changes in the problem domains.