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
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
收藏
页码:301 / 304
页数:4
相关论文
共 50 条
  • [21] CE-Storm: Confidential Elastic Processing of Data Streams
    Katsipoulakis, Nick R.
    Thoma, Cory
    Gratta, Eric A.
    Labrinidis, Alexandros
    Lee, Adam J.
    Chrysanthis, Panos K.
    SIGMOD'15: PROCEEDINGS OF THE 2015 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2015, : 859 - 864
  • [22] Performance Analysis of ECG Big Data using Apache Hive and Apache Pig
    Ahmad, Mudassar
    Kanwal, Safina
    Cheema, Maryam
    Habib, Muhammad Asif
    2019 8TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES (ICICT 2019), 2019, : 2 - 7
  • [23] Role of twitter user profile features in retweet prediction for big data streams
    Saurabh Sharma
    Vishal Gupta
    Multimedia Tools and Applications, 2022, 81 : 27309 - 27338
  • [24] Role of twitter user profile features in retweet prediction for big data streams
    Sharma, Saurabh
    Gupta, Vishal
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (19) : 27309 - 27338
  • [25] Sehaa: A Big Data Analytics Tool for Healthcare Symptoms and Diseases Detection Using Twitter, Apache Spark, and Machine Learning
    Alotaibi, Shoayee
    Mehmood, Rashid
    Katib, Iyad
    Rana, Omer
    Albeshri, Aiiad
    APPLIED SCIENCES-BASEL, 2020, 10 (04):
  • [26] A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark
    Ramirez-Gallego, S.
    Garcia, S.
    Benitez, J. M.
    Herrera, F.
    SWARM AND EVOLUTIONARY COMPUTATION, 2018, 38 : 240 - 250
  • [27] VIPTRA: Visualization and Interactive Processing on Big Trajectory Data
    Ding, Xin
    Chen, Rui
    Chen, Lu
    Gao, Yunjun
    Jensen, Christian S.
    2018 19TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2018), 2018, : 290 - 291
  • [28] Trajectory Big Data Processing Based on Frequent Activity
    Amina Belhassena
    Hongzhi Wang
    Tsinghua Science and Technology, 2019, 24 (03) : 317 - 332
  • [29] Trajectory Big Data Processing Based on Frequent Activity
    Belhassena, Amina
    Wang, Hongzhi
    TSINGHUA SCIENCE AND TECHNOLOGY, 2019, 24 (03) : 317 - 332
  • [30] A proposal of a big web data application and archive for the distributed data processing with Apache Hadoop
    University of Pardubice, Faculty of Economics and Administration, Pardubice, Czech Republic
    Lect. Notes Comput. Sci., (285-294):