article · 2010
Query Plan Optimization and Migration Strategy over Data Stream
Cited by 2Abstract and details only
Abstract
Continuous queries are the more interesting class of data stream queries. The answer to a continuous query is continuously produced over time unless stopped artificially. During an executed continuous query, the run environment changes continuously, meanwhile some properties of data stream itself change too, such as input rate, selectivity of operators and execute time and so on. In order to adapt the continuity of queries and variability of system environment and date itself during continuous query, this paper presents a query plan optimization and migration strategy based on multi-factors and gives corresponding algorithm. Experiments have proved that this optimization and migration strategy ensures output results correctness and time sequence, meanwhile validly increases throughput and output rate and reduces output time latency.
Cite this paper
Zhang, L., & Wang, Y. (2010). Query Plan Optimization and Migration Strategy over Data Stream. https://doi.org/10.1109/ifita.2010.199
Zhang, Lijie, and Yaxuan Wang. “Query Plan Optimization and Migration Strategy over Data Stream.” 2010, pp. 72–75, https://doi.org/10.1109/ifita.2010.199.
Zhang, Lijie, and Yaxuan Wang. 2010. “Query Plan Optimization and Migration Strategy over Data Stream.” https://doi.org/10.1109/ifita.2010.199.
Zhang, L. and Wang, Y. (2010) ‘Query Plan Optimization and Migration Strategy over Data Stream’. Available at: https://doi.org/10.1109/ifita.2010.199.
@article{zhang2010query,
title = {{Query Plan Optimization and Migration Strategy over Data Stream}},
author = {Zhang, Lijie and Wang, Yaxuan},
pages = {72--75},
year = {2010},
doi = {10.1109/ifita.2010.199}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.