VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Information Sciences: an International Journal
Journal of Systems and Software
Knowledge and Information Systems
On-demand index for efficient structural joins
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Efficient filtering query indexing in data stream
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Adaptive two-level optimization for selection predicates of multiple continuous queries
Journal of Intelligent Information Systems
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Many continual range queries can be issued against data streams. To efficiently evaluate continual queries against a stream, a main memory-based query index with a small storage cost and a fast search time is needed, especially if the stream is rapid. In this paper, we study a CEI-based query index that meets both criteria for efficient processing of continual interval queries. This new query index is an indirect indexing approach. It centres around a set of predefined virtual containment-encoded intervals, or CEIs. The CEIs are used to first decompose query intervals and then perform efficient search operations. The CEIs are defined and labeled such that containment relationships among them are encoded in their IDs. The containment encoding makes decomposition and search operations efficient; from the encoding of the smallest CEI containing a data point, the encodings of other containing CEIs can be easily derived. Closed-form formulae for the bounds of the average index storage cost are derived. Simulations are conducted to evaluate the effectiveness of the CEI-based query index and to compare it with alternative approaches. The results show that the CEI-based query index significantly outperforms existing approaches in terms of both storage cost and search time.