Abstract
This paper implements a threaded scan engine for the O(n!) search space and measures its performance, aiming at providing a responsive tour recommendation and scheduling service. As a preliminary step of integrating POI ontology, mobile object database, and personalization profile for the development of new vehicular telematics services, this implementation can give a useful guideline to design a challenging and computation-intensive vehicular telematics service. The implemented engine allocates the subtree to the respective threads and makes them run concurrently exploiting the primitives provided by the operating system and the underlying multiprocessor architecture. It also makes it easy to add a variety of constraints, for example, the search tree is pruned if the cost of partial allocation already exceeds the current best. The performance measurement result shows that the service can run even in the low-power telematics device when the number of destinations does not exceed 15, with an appropriate constraint processing.
This research was supported by the MKE(The Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency). (NIPA-2010-(C1090-1011-0009)).
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Lee, J., Park, GL., Ko, Jh., Shin, IH., Kang, M. (2010). Design and Implementation of a Threaded Search Engine for Tour Recommendation Systems. In: Kim, Th., Ma, J., Fang, Wc., Park, B., Kang, BH., Ślęzak, D. (eds) U- and E-Service, Science and Technology. UNESST 2010. Communications in Computer and Information Science, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17644-9_1
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