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

被引：0

作者：

Cheikh Tourad, Mohamedou ^{[1
]}

Abdali, Abdelmounaim ^{[1
]}

Outfarouin, Ahmad ^{[1
]}

机构：

[1] Cadi Ayyad Univ, Appl Math & Comp Sci Lab, Marrakech, Morocco

来源：

2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2016年

关键词：

Pub/sub; inverted list; subscription indexing; Big Data;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：2

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