Future Intelligent Vehicular Technologies. First International Conference, Future 5V 2016, Porto, Portugal, September 15, 2016, Revised Selected Papers

Research Article

Challenges and Opportunities in Big Data and Cloud Computing

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  • @INPROCEEDINGS{10.1007/978-3-319-51207-5_17,
        author={Hassan Sohail and Zeenia Zameer and Hafiz Ahmed and Usama Iqbal and Pir Ali Shah},
        title={Challenges and Opportunities in Big Data and Cloud Computing},
        proceedings={Future Intelligent Vehicular Technologies. First International Conference, Future 5V 2016, Porto, Portugal, September 15, 2016, Revised Selected Papers},
        proceedings_a={FUTURE 5V},
        year={2017},
        month={1},
        keywords={Big data Cloud computing Cloud data Security},
        doi={10.1007/978-3-319-51207-5_17}
    }
    
  • Hassan Sohail
    Zeenia Zameer
    Hafiz Ahmed
    Usama Iqbal
    Pir Ali Shah
    Year: 2017
    Challenges and Opportunities in Big Data and Cloud Computing
    FUTURE 5V
    Springer
    DOI: 10.1007/978-3-319-51207-5_17
Hassan Sohail1,*, Zeenia Zameer1,*, Hafiz Ahmed1,*, Usama Iqbal1,*, Pir Ali Shah1,*
  • 1: University of South Asia
*Contact email: hassansohail@live.com, zeenia.zameer@yahoo.com, farhanahmad1525@gmail.com, uiqbal970@gmail.com, amad.ali@usa.edu.pk

Abstract

In this paper we have discussed the approaches and complexity of big data analytics issues in the perspective of cloud computing. Big data and cloud computing are novel methods of distributing computational resources. Currently big data and cloud computing has engrossed romantic behavior, which needs handling huge quantity of data quickly and securely. In the modern era the size of data is dramatically increasing due to cloud computing technology, which poses various challenges with the variety, security, and size of data. Cloud computing is the newest and the main kind of distributed computing systems and it wraps most of their features. It has already been broadly employed for its huge merits and its capability to handle large amount of data like workflows and big data applications. We have identified some gaps in technology, its challenges, limitation, and applications of big data and cloud computing from theoretical perspective. Moreover, this paper give recommendations to the researchers on future direction sand suggests different solutions to the challenges and limitations.