Predictive query processing on moving objects

Abdeltawab M. Hendawi, Mohamed F. Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A fundamental category of location based services relies on predictive queries which consider the anticipated future locations of users. Predictive queries attracted the researchers' attention as they are widely used in several applications including traffic management, routing, location-based advertising, and ride sharing. This paper aims to present a generic and scalable system for predictive query processing on moving objects, e.g, vehicles. Inside the proposed system, two frameworks are provided to work in two different environments, (1) Panda framework for euclidean space, and (2) iRoad framework for road network. Unlike previous work in supporting predictive queries, the target of the proposed system is to: (a) support long-term query prediction as well as short term prediction, (b) scale up to large number of moving objects, and (c) efficiently support different types of predictive queries, e.g., predictive range, KNN, and aggregate queries.

Original languageEnglish
Title of host publication2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
PublisherIEEE Computer Society
Pages340-344
Number of pages5
ISBN (Print)9781479934805
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014 - Chicago, IL, United States
Duration: 31 Mar 20144 Apr 2014

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
CountryUnited States
CityChicago, IL
Period31/3/144/4/14

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Hendawi, A. M., & Mokbel, M. F. (2014). Predictive query processing on moving objects. In 2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014 (pp. 340-344). [6818352] (Proceedings - International Conference on Data Engineering). IEEE Computer Society. https://doi.org/10.1109/ICDEW.2014.6818352