BalanceDN：内容中心网络中用于快速发现的兴趣负载均衡分配
BalanceDN: Load-Balancing Allocation of Interest for Fast Discovery in Content Centric Networks
AI总结：
BalanceDN针对NDN内容搜索缓慢与拥塞问题，提出基于负载均衡哈希和分布式解析器分配的内容分发与定位方法，在ndnSIM中验证可显著减少网络资源消耗并实现快速内容发现。
摘要：
在命名数据网络（NDN）中，数据通过唯一名称而非IP地址进行标识，路由器使用内容名称将Interest包转发至所请求内容的生产者。然而，NDN中当前的内容搜索机制复杂且缓慢。该机制不仅会造成拥塞，而且由于其缓慢和繁琐的特性，阻碍了实际部署。为了解决这一问题，我们提出了一种名为BalanceDN的方法，该方法通过网络分发内容，使得所寻找的内容能够被快速找到。BalanceDN采用类似于域名系统所使用的解析器的分布式分配方式，但在内容分发方式上有所不同。我们的方法避免了在网络中泛洪大量待处理的兴趣请求，并且在内容位置未知时也消除了盲目搜索的需要。我们在ndnSIM（一个NDN仿真平台）上测试了我们的方法。结果表明，与NDN网络相比，所提出的路由方案在检索内容时使用的网络资源要少得多。所提出的方案通过利用负载均衡哈希机制在分布式名称服务器查找服务节点上分发和定位内容名称，从而实现了这一性能提升。
英文摘要：
In Named Data Networking (NDN), data is identified by unique names instead of IP addresses, and routers use the names of the content to forward Interest packets towards the producers of the requested content. However, the current content search mechanism in NDN is complex and slow. This mechanism not only creates congestion but also hinders practical deployment due to its slowness and cumbersome nature. To address this issue, we propose a methodology, called BalanceDN, that distributes content through the network such that sought content can be found quickly. BalanceDN uses a distributed allocation of resolvers as those used by the domain name system but differs in how content is distributed. Our approach avoids flooding the network with pending interest requests and also eliminates the need for blind search when the location of content is unknown. We tested our approach on ndnSIM; a simulation platform for NDN. The results show that the proposed routing scheme utilizes far fewer network resources compared to the NDN network when retrieving content. The proposed scheme accomplishes this performance gain by leveraging a load-balanced hashing mechanism to distribute and locate the name of the content on the distributed nameserver lookup service nodes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
