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| Content Provider | ACM Digital Library |
|---|---|
| Author | Doo, Myungcheol Narasimhan, Nitya Vasudevan, Venu Liu, Ling |
| Abstract | We present the design and implementation of a new indexing technique, Mondrian tree. The Mondrian tree indexing method partitions the entire universe of discourse into spatial alarm monitoring regions and alarm-free regions. This enables us to reduce the number of on-demand alarm-free region computations, significant savings of both server load and client-to-server communication cost. We evaluate the efficiency of the Mondrian tree indexing approach and show that the Mondrian tree offers significant performance enhancements on spatial alarm processing at both the server side and the client side. |
| Starting Page | 426 |
| Ending Page | 429 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450304283 |
| DOI | 10.1145/1869790.1869853 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-11-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Location-based services Mobile applications Spatial alarms Indexing |
| Content Type | Text |
| Resource Type | Article |
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