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Towards real-time parallel processing of spatial queries

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3 Author(s)
Haibo Hu ; Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Kowloon ; Manli Zhu ; Dik-Lun Lee

Spatial databases are entering an era of mass deployment in various real-life applications, especially mobile and location-based services. The real-time processing of spatial queries to meet different performance goals poses new problems to the real-time and parallel processing communities. We investigate how multiple window queries can be parallelized, decomposed, scheduled and processed in real time workloads to optimize system performance, such as I/O cost, response time and miss rate. We devise in-memory R-trees to decompose queries into independent jobs. Jobs from different queries can be combined according to their spatial locality to eliminate redundant I/Os. Runtime job schedulers are elaborately devised to optimize response time or miss rate for various systems. Empirical results show a significant performance improvement over the sequential, unparalleled approach

Published in:

Parallel Processing, 2003. Proceedings. 2003 International Conference on

Date of Conference:

9-9 Oct. 2003