The 51 V's Of Big Data Survey, Technologies, Characteristics, Opportunities, Issues and Challenges

被引:21
|
作者
Khan, Nawsher [1 ]
Naim, Arshi [1 ]
Hussain, Mohammad Rashid [1 ]
Naveed, Quadri Noorulhasan [1 ]
Ahmad, Naim [1 ]
Qamar, Shamimul [1 ]
机构
[1] King Khalid Univ, Coll Comp Sci, Abha, Saudi Arabia
来源
INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (COINS) | 2019年
关键词
Big Data; data generation; data characteristics; data storage;
D O I
10.1145/3312614.3312623
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Currently Big Data is the biggest buzzword, and definitely, we believe that Big Data is changing the world. Some researchers say Big Data will be even bigger buzzword than the Internet. With fast-growing computing resources, information and knowledge a new digital globe has emerged. Information is being created and stored at a fast rate and is being accessed by a vast range of applications through scientific computing, commercial workloads, and social media. In 2018, over 28 billion devices globally, are connected to the internet. In 2020, more than 50 billion smart appliances will be connected worldwide and internet traffic flow will be 92 times greater than it was in 2005. The usage of such a massive number of connected devices not only increase the data volume but also the velocity of data addition with speed of light on fiber optic and various wireless networks. This fast generation of enormous data creates numerous threats and challenges. There exist various approaches that are addressing issues and challenges of Big Data with the theory of Vs such as 3 V's, 5 V's, 7 V's etc. The objective of this work is to explore and investigate the status of the current Big Data domain. Further, a comprehensive overview of Big Data, its characteristics, opportunities, issues, and challenges have been explored and described with the help of 51 V's. The outcome of this research will help in understanding the Big Data in a systematic way.
引用
收藏
页码:19 / 24
页数:6
相关论文
共 50 条
  • [31] BIG DATA - Present Opportunities and Challenges
    Paraschiv, Andrei Marcel
    Danubianu, Mirela
    BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, 2019, 10 : 15 - 21
  • [32] Big Data - Limitations, Challenges and Opportunities
    Antes, G.
    ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE, 2016, 49 : S40 - S41
  • [33] BIG DATA IN HEALTHCARE - OPPORTUNITIES AND CHALLENGES
    Leppert, F.
    Greiner, W.
    VALUE IN HEALTH, 2016, 19 (07) : A463 - A463
  • [34] Big Biological Data:Challenges and Opportunities
    Yixue Li
    Luonan Chen
    Genomics,Proteomics & Bioinformatics, 2014, (05) : 187 - 189
  • [35] A Survey on IoT Big Data: Current Status, 13 V's Challenges, and Future Directions
    Bansal, Maggi
    Chana, Inderveer
    Clarke, Siobhan
    ACM COMPUTING SURVEYS, 2021, 53 (06)
  • [36] Rise of Big Data - Issues and Challenges
    Alabdullah, Bayan
    Beloff, Natalia
    White, Martin
    2018 21ST SAUDI COMPUTER SOCIETY NATIONAL COMPUTER CONFERENCE (NCC), 2018,
  • [37] Big Data Analysis: Issues and Challenges
    Bhardwaj, Vibha
    Johari, Rahul
    2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, SIGNALS, COMMUNICATION AND OPTIMIZATION (EESCO), 2015,
  • [38] Big Data Security Issues and challenges
    Chaudhari, Neetu
    Srivastava, Satyajee
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2016, : 60 - 64
  • [39] Big Data Challenges and Issues: A Review
    Mathur, Akanksha
    Gupta, C. P.
    PROCEEDING OF THE INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS, BIG DATA AND IOT (ICCBI-2018), 2020, 31 : 446 - 452
  • [40] Big data storage technologies: a survey
    Aisha Siddiqa
    Ahmad Karim
    Abdullah Gani
    Frontiers of Information Technology & Electronic Engineering, 2017, 18 : 1040 - 1070