A survey on data stream, big data and real-time

被引:0
|
作者
Gomes E.H.A. [1 ]
Plentz P.D.M. [1 ]
De Rolt C.R. [2 ]
Dantas M.A.R. [3 ]
机构
[1] Department of Informatics and Statistics (INE), Federal University of Santa Catarina (UFSC), Florianópolis, SC
[2] Centre of Management and Socioeconomic Science (ESAG), State University of Santa Catarina (UDESC), Florianópolis, SC
[3] Department of Computer Science (DCC), Federal University of Juiz de Fora (UFJF), Juiz de Fora, MG
关键词
Big data; Big data stream tools; Data stream; Real-time; Stream processing; Time constraint;
D O I
10.1504/IJNVO.2019.097631
中图分类号
学科分类号
摘要
Real-time concept is being widely used by a society that seeks to speed communications, decisions and their daily activities. Even though this term is not used with the necessary conceptual precision, it makes clear the importance that time exerts on computer systems. Nowadays, the big data scenario, this concept is important and used with different meanings, which can define failure or successful of applications. This article aims to present a systematic literature review on the topics of data stream, big data and real-time. For this, we developed a protocol revision in which were determined research questions, the search term, the search source and the inclusion and exclusion criteria of articles. After an extensive study, we classify the articles selected in seven categories according to real-time concept used. Finally, we present a discussion that shows that there is not convergence on real-time concepts in the big data literature. Copyright © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码:143 / 167
页数:24
相关论文
共 50 条
  • [21] Accelerating Real-Time Tracking Applications over Big Data Stream with Constrained Space
    Wu, Guangjun
    Yun, Xiaochun
    Wang, Shupeng
    Fu, Ge
    Li, Chao
    Liu, Yong
    Li, Binbin
    Wang, Yong
    Zhao, Zhihui
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2019), PT I, 2019, 11446 : 3 - 18
  • [22] Time series big data: a survey on data stream frameworks, analysis and algorithms
    Almeida, Ana
    Bras, Susana
    Sargento, Susana
    Pinto, Filipe Cabral
    JOURNAL OF BIG DATA, 2023, 10 (01)
  • [23] Time series big data: a survey on data stream frameworks, analysis and algorithms
    Ana Almeida
    Susana Brás
    Susana Sargento
    Filipe Cabral Pinto
    Journal of Big Data, 10
  • [24] Real-time processing of streaming big data
    Safaei, Ali A.
    REAL-TIME SYSTEMS, 2017, 53 (01) : 1 - 44
  • [25] Real-time processing of streaming big data
    Ali A. Safaei
    Real-Time Systems, 2017, 53 : 1 - 44
  • [26] Elaborative Survey on Storage Technologies for XML Big Data: A Real-time Approach
    Sankari, S.
    Bose, S.
    2016 5TH INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION TECHNOLOGY (ICRTIT), 2016,
  • [27] Real-time Dynamic Data Desensitization Method based on Data Stream
    Tian, Bing
    Lv, Shuqing
    Yin, Qilin
    Li, Ning
    Zhang, Yue
    Liu, Ziyan
    PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION SCIENCE AND SYSTEM, AISS 2019, 2019,
  • [28] A Methodology of Real-Time Data Fusion for Localized Big Data Analytics
    Jabbar, Sohail
    Malik, Kaleem R.
    Ahmad, Mudassar
    Aldabbas, Omar
    Asif, Muhammad
    Khalid, Shehzad
    Han, Kijun
    Ahmed, Syed Hassan
    IEEE ACCESS, 2018, 6 : 24510 - 24520
  • [29] Research on real-time network data mining technology for big data
    Jing Hu
    Xianbin Xu
    EURASIP Journal on Wireless Communications and Networking, 2019
  • [30] AScale: Big/Small Data ETL and Real-Time Data Freshness
    Martins, Pedro
    Abbasi, Maryam
    Furtado, Pedro
    BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2016, 2016, 613 : 315 - 327