Abstract
Data service hides the complexity of the multi-source and heterogeneous data sources,and helps the implementation of user-steering nested view generation.However,once heterogeneous data sources are updated,the updates must be propagated to the top-level nested views through data services step by step.A challenging problem is how to reduce the redundant computation and improve the data freshness.In this paper,a dynamic update strategy is proposed.The strategy uses the pointer to establish the relationship between the data services and the nested views,and designs the log data structure for data service,and proposes an incremental update algorithm based on the log data structure.Experiments show that our strategy can effectively reduce 70% redundant computation,and improve 60% data freshness.
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