Skip to content
Free planNo credit card requiredStart writing

article · 2014

Kazemitabar 1 Geospatial Stream Query Processing using Microsoft SQL Server StreamInsight

Mohamed H Ali, Afsin Akdogan, Cyrus Shahabi

Cited by 0Abstract and details only

Abstract

Microsoft SQL Server spatial libraries contain several components that handle geometrical and geographical data types. With advances in geo-sensing technologies, there has been an increasing demand for geospatial streaming applications. Microsoft SQL Server StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications that run continuous queries over high-rate streaming events. With its extensibility infrastructure, StreamInsight enables developers to integrate their domain expertise within the query pipeline in the form of user defined modules. This demo utilizes the extensibility infrastructure in Microsoft StreamInsight to leverage its continuous query processing capabilities in two directions. The first direction integrates SQL spatial libraries into the continuous query pipeline of StreamInsight. StreamInsight provides a well-defined temporal model over incoming events while SQL spatial libraries cover the spatial properties of events to deliver a solution for spatiotemporal stream query processing. The second direction extends the system with an analytical refinement and prediction layer. This layer analyzes historical data that has been accumulated and summarized over the years to refine, smooth and adjust the current query output as well as predict the output in the near future. The demo scenario is based on transportation data in Los Angeles County. 1.

Cite this paper

APA 7

Ali, M. H., Akdogan, A., & Shahabi, C. (2014). Kazemitabar 1 Geospatial Stream Query Processing using Microsoft SQL Server StreamInsight.

MLA 9

Ali, Mohamed H, et al. “Kazemitabar 1 Geospatial Stream Query Processing using Microsoft SQL Server StreamInsight.” 2014.

Chicago

Ali, Mohamed H, Afsin Akdogan, and Cyrus Shahabi. 2014. “Kazemitabar 1 Geospatial Stream Query Processing using Microsoft SQL Server StreamInsight.”

Harvard

Ali, M.H., Akdogan, A. and Shahabi, C. (2014) ‘Kazemitabar 1 Geospatial Stream Query Processing using Microsoft SQL Server StreamInsight’.

BibTeX
@article{ali2014kazemitabar,
  title = {{Kazemitabar 1 Geospatial Stream Query Processing using Microsoft SQL Server StreamInsight}},
  author = {Ali, Mohamed H and Akdogan, Afsin and Shahabi, Cyrus},
  year = {2014}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.