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

Mohamedou Cheikh Tourad, A. Abdali, Ahmad Outfarouin
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引用次数: 2

Abstract

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.
论大数据背景下的新索引发布/订阅系统
在web上发布的信息及其用户的巨大增长导致了通知系统(web syndication)的出现,例如发布/订阅系统(Pub/sub),它可以帮助用户实时跟踪由信息收集器(RSS (Really Simple syndication))管理的信息。为了有针对性地利用目前网络上存在的大数据流(Big data)所产生的信息,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,我们提出了一种新的索引结构算法,这将使我们能够开发高效和智能的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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