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On a new index of Publish/Subscribe system in the context of Big Data

机译:大数据环境下的发布/订阅系统新索引

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The huge increase in information published on the web, and its users has led to the emergence of notifications systems (Web syndication), such as the Publish/Subscribe system (Pub/sub) that helps the user to track information managed by the information collectors (RSS (Really Simple Syndication)) in real time. For pertinent use of the information issue from large data streams (Big Data) that currently exist on the net, the development of new filtering systems is mandatory. Several algorithms have been developed to meet this end. In this work we propose a new algorithm for indexing structures that will allow us to develop efficient and intelligent systems.
机译:在Web上发布的信息及其用户的大量增加导致了通知系统(Web联合组织)的出现,例如可帮助用户跟踪信息收集者管理的信息的Publish / Subscribe系统(Pub / sub)。 (RSS(真正简单的联合发布))实时。为了恰当地使用网络上当前存在的大数据流(Big Data)中的信息问题,必须开发新的过滤系统。为了达到这个目的,已经开发了几种算法。在这项工作中,我们提出了一种用于索引结构的新算法,该算法将使我们能够开发高效而智能的系统。

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