IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v9y2019i2p43-59.html
   My bibliography  Save this article

IoT Data Compression and Optimization Techniques in Cloud Storage: Current Prospects and Future Directions

Author

Listed:
  • Kaium Hossain

    (Department of Computer Science & Engineering, Green University of Bangladesh, Dhaka, Bangladesh)

  • Mizanur Rahman

    (Department of Computer Science & Engineering, Green University of Bangladesh, Dhaka, Bangladesh)

  • Shanto Roy

    (Department of Computer Science & Engineering, Green University of Bangladesh, Dhaka, Bangladesh)

Abstract

This article presents a detailed survey on different data compression and storage optimization techniques in the cloud, their implications, and discussion over future directions. The development of the smart city or smart home systems lies in the development of the Internet of Things (IoT). With the increasing number of IoT devices, the tremendous volume of data is being generated every single day. Therefore, it is necessary to optimize the system's performance by managing, compressing and mining IoT data for smart decision support systems. In this article, the authors surveyed recent approaches with up-to-date outcomes and findings related to the management, mining, compression, and optimization of IoT data. The authors then discuss the scopes and limitations of present works and finally, this article presents the future perspectives of IoT data management on basis of cloud, fog, and mobile edge computing.

Suggested Citation

  • Kaium Hossain & Mizanur Rahman & Shanto Roy, 2019. "IoT Data Compression and Optimization Techniques in Cloud Storage: Current Prospects and Future Directions," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(2), pages 43-59, April.
    • Handle: RePEc:igg:jcac00:v:9:y:2019:i:2:p:43-59
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.2019040103
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chaudhary, Pooja & Gupta, Brij B. & Chang, Xiaojun & Nedjah, Nadia & Chui, Kwok Tai, 2021. "Enhancing big data security through integrating XSS scanner into fog nodes for SMEs gain," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Hinge, Gilbert & Surampalli, Rao Y. & Goyal, Manish Kumar & Gupta, Brij B. & Chang, Xiaojun, 2021. "Soil carbon and its associate resilience using big data analytics: For food Security and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Liu, Zhi-Jiang & Chernov, Sergei & Mikhaylova, Anna V., 2021. "Trust management and benefits of vehicular social networking: An approach to verification and safety," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcac00:v:9:y:2019:i:2:p:43-59. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.