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
  • [41] Big Data issues and Opportunities for electric utilities
    Schuelke-Leech, Beth-Anne
    Barry, Betsy
    Muratori, Matteo
    Yurkovich, B. J.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 52 : 937 - 947
  • [42] Big data storage technologies: a survey
    Siddiqa, Aisha
    Karim, Ahmad
    Gani, Abdullah
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 18 (08) : 1040 - 1070
  • [43] Big health data and Parkinson's disease epidemiology: Challenges and opportunities
    Bjornevik, Kjetil
    Schwarzschild, Michael A.
    Ascherio, Alberto
    PARKINSONISM & RELATED DISORDERS, 2020, 71 : 58 - 59
  • [44] Survey for smart farming technologies: Challenges and issues
    Idoje, Godwin
    Dagiuklas, Tasos
    Iqbal, Muddesar
    COMPUTERS & ELECTRICAL ENGINEERING, 2021, 92
  • [45] Big Data and Data Science:Opportunities and Challenges of iSchools
    Il-Yeol Song
    Yongjun Zhu
    Journal of Data and Information Science, 2017, (03) : 1 - 18
  • [46] Big Data and Data Science:Opportunities and Challenges of iSchools
    Il-Yeol Song
    Yongjun Zhu
    Journal of Data and Information Science, 2017, 2 (03) : 1 - 18
  • [47] Big issues for big data: challenges for critical spatial data analytics
    Brunsdon, Chris
    Comber, Alexis
    JOURNAL OF SPATIAL INFORMATION SCIENCE, 2020, (21): : 89 - 98
  • [48] From Big Data to Big Artificial Intelligence?Algorithmic Challenges and Opportunities of Big Data
    Kristian Kersting
    Ulrich Meyer
    KI - Künstliche Intelligenz, 2018, 32 (1) : 3 - 8
  • [49] From Big Data to Big Artificial Intelligence? Algorithmic Challenges and Opportunities of Big Data
    Kersting, Kristian
    Meyer, Ulrich
    KUNSTLICHE INTELLIGENZ, 2018, 32 (01): : 3 - 8
  • [50] Modeling and Management of Big Data: Challenges and opportunities
    Gil, David
    Song, Il-Yeol
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2016, 63 : 96 - 99