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

Authors

  • Akkala Venkateswarlu Reddy  PG Student, Department of MCA, St. Ann's College of Engineering & Technology, Chirala, Andhra Pradesh, India
  • P. S. Naveen Kumar  Assistant Professor, Department of MCA, St. Ann's College of Engineering & Technology, Chirala, Andhra Pradesh, India

Keywords:

PLACE (Pervasive Location-Aware Computing Environments) server, adaptable location-aware database server, RFID.

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.

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Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
Akkala Venkateswarlu Reddy, P. S. Naveen Kumar, " A Distributed Framework for Spatio-Temporal Data Streams Processing through Continuous Query Process, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.124-130, January-February-2018.