IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v3y2018i2idhcseit11831472.html

A Distributed Framework for Spatio-Temporal Data Streams Processing through Continuous Query Process

Author

Listed:
  • Akkala Venkateswarlu Reddy
  • P. S. Naveen Kumar

Abstract

The enormous increment of cellular phones, GPS-like devices, and RFIDs brings about exceptionally unique situations where questions and also inquiries are constantly moving. In this paper, we show a persistent question processor planned particularly for exceedingly powerful situations (e.g., location-aware conditions). We executed the proposed nonstop inquiry processor inside the PLACE server (Pervasive Location-Aware Computing Environments); an adaptable location-awaredatabase server as of now created at Purdue University. The PLACE server stretches out information gushing administration frameworks to help location-awaresituations. Such conditions are described by the wide assortment of persistent spatio-temporal questions and the unbounded spatio-worldly streams. The proposed constant inquiry processor for the most part incorporates: Developing new incremental Spatio-temporal administrators to help a wide assortment of consistent spatio-worldly inquiries. Extending the semantic of sliding window questions to manage spatial sliding windows and temporal sliding windows. Providing a shared execution structure for adaptable execution of an arrangement of simultaneous consistent spatio-temporal questions. Preparatory test assessment demonstrates the promising execution of the consistent question processor of the PLACE server.

Suggested Citation

  • Akkala Venkateswarlu Reddy & P. S. Naveen Kumar, 2018. "A Distributed Framework for Spatio-Temporal Data Streams Processing through Continuous Query Process," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(2), pages 124-130, February.
  • Handle: RePEc:jbh:ijsrcs:v3:y2018:i2:id:hcseit11831472
    Note: Article URL: https://ijsrcseit.com/CSEIT11831472
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT11831472
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT11831472.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    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:jbh:ijsrcs:v3:y2018:i2:id:hcseit11831472. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.