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Moving object environments are characterized by large numbers of moving objects and numerous concurrent continuous queries over these objects. Efficient evaluation of these queries in response to the movement of the objects is critical for supporting acceptable response times. In such environments the traditional approach of building an index on the objects (data) suffers from the need for frequent updates and thereby results in poor performance. In fact, a brute force, no-index strategy yields better performance in many cases. Neither the traditional approach, nor the brute force strategy achieve reasonable query processing times. The efficient and scalable evaluation of multiple continuous queries on moving objects can be achieved by leveraging two complimentary techniques: Query Indexing and Velocity Constrained Indexing (VCI). Query Indexing relies on (i) incremental evaluation; (ii) reversing the role of queries and...
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References
Prabhakar S, Xia Y, Kalashnikov D, Aref W, Hambrusch S (2002) Query indexing and velocity constrained indexing: scalable techniques for continuous queries on moving objects. IEEE Trans Comput 51(10): 1124–1140
Wolfson O, Xu B, Chamberlain S, Jiang L (1998) Moving objects databases: issues and solutions. In: Proceedings of the SSDBM conference, Capri, pp 111–122
Recommended Reading
Kollios G, Gunopulos D, Tsotras VJ (1999) On indexing mobile objects. In: Proceedings of ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems (PODS), Philadelphia, June 1999
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Prabhakar, S., Kalashnikov, D., Xia, Y. (2017). Indexing, Query and Velocity-Constrained. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_612
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DOI: https://doi.org/10.1007/978-3-319-17885-1_612
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