IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v83y2023i2d10.1007_s11235-023-01002-8.html
   My bibliography  Save this article

Dingo optimization based network bandwidth selection to reduce processing time during data upload and access from cloud by user

Author

Listed:
  • J. Sulthan Alikhan

    (K.L.N. College of Engineering)

  • R. Alageswaran

    (SASTRA Deemed University)

  • S. Miruna Joe Amali

    (K.L.N. College of Engineering)

Abstract

Big data processing is considered as significant because a massive amount of data is generated due to the rapid usage of the internet by people all over the globe. Cloud computing technology is recently attracted many users of massive data. However, the cloud system experiences enormous time for storing and accessing this huge volume of data. So, many researchers are processing to reduce the amount of data and Time. So, for attaining reduced processing time in cloud an efficient data uploading and data accessing process is proposed in this current research. During the data uploading process, multiple users is processed using the RAM chunking technique to split the data into small chunks and separate blocks are created to store this chunked data. The process of indexing is carried out using multilevel indexing to create index attributes for the data. This entire processed data is stored in cloud. During the data accessing process, to achieve fast accessing of data from the cloud the selection of optimal bandwidth is done using the dingo optimization algorithm. The optimal bandwidth selected in this current research for fast data accessing is 97 Gbps. Simulation analysis is carried out on the proposed model, and some of the metrics like execution time, data uploading time, data processing time, and data transfer rate obtained for the proposed cloud model are 6.14 ms, 203 ms, 2.06 ms and 61.09 Mbps. Analysis suggests that reduced processing time is achieved in cloud using the proposed model during data uploading and accessing.

Suggested Citation

  • J. Sulthan Alikhan & R. Alageswaran & S. Miruna Joe Amali, 2023. "Dingo optimization based network bandwidth selection to reduce processing time during data upload and access from cloud by user," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 83(2), pages 189-208, June.
    • Handle: RePEc:spr:telsys:v:83:y:2023:i:2:d:10.1007_s11235-023-01002-8
    DOI: 10.1007/s11235-023-01002-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-023-01002-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-023-01002-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:telsys:v:83:y:2023:i:2:d:10.1007_s11235-023-01002-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.