Processing Big Trajectory and Twitter Data Streams using Apache STORM

被引：0

作者：

Stojanovic, Dragan ^{[1
]}

Stojanovic, Natalija ^{[1
]}

Turanjanin, Jovan ^{[1
]}

机构：

[1] Univ Nis, Fac Elect Engn, Aleksandra Medvedeva 14, Nish 18000, Serbia

来源：

2015 12TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES (TELSIKS) | 2015年

关键词：

big data; spatio-temporal data streams; trajectory data; geo-spatial processing; high performance computing;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, we present research work related to processing and analysis of big trajectory and Twitter data streams using Apache Storm framework. We present the TrafficStorm application implemented as Storm topology, and describe its implementation on a cluster of commodity computers. TrafficStorm performs processing of big trajectory data streams related to users moving over a street network, as well as tweets issued by users in the area of interest. The experimental evaluation and results in detecting online traffic situation and crowded street segments in a real time, as well as possible explanation of such situation from correlated Twitter messages, demonstrate the feasibility of our approach.

引用

页码：301 / 304

页数：4

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