NOA-AID (Network Overlays for Adaptive information Aggregation, Indexing and Discovery on the fog) is an approach for decentralized indexing, aggregation and discovery of data belonging to streams. It is organized on two network layers. The upper layer is in charge of delivering an information discovery approach by providing a distributed index structure. The lower layer is devoted to resource aggregation based on epidemic protocols designed for highly dynamic environment, well suited to stream-oriented scenarios. It defines a flexible approach to express queries targeting highly heterogeneous data, as well as a self-organizing dynamic system allowing the optimal resolution of queries on the most suitable stream producers. The paper also presents a theoretical study and discusses the costs related to information management operations; it also gives an empirical validation of findings. Finally, it reports an extended experimental evaluation that demonstrated the ability of NOA-AID to be effective and efficient for retrieving information extracted from streams in highly-dynamic and distributed processing architectures.

NOA-AID（雾中自适应信息聚合，索引和发现的网络覆盖）是一种用于分散索引，聚合和发现属于流的数据的方法。它分为两个网络层。上层负责通过提供分布式索引结构来交付信息发现方法。下层专门基于基于流行病协议的资源聚合，该协议专为高度动态的环境而设计，非常适合面向流的场景。它定义了一种灵活的方法来表达针对高度异构数据的查询，以及一种自组织动态系统，可以在最适合的流生产者上实现查询的最佳解析。本文还提供了理论研究，并讨论了与信息管理运营相关的成本；它还对发现进行了实证检验。最后，它报告了一项扩展的实验评估，该评估证明了NOA-AID在高动态和分布式处理体系结构中检索从流中提取的信息的能力是高效的。