作者: Anastasios Gounaris , Norman W. Paton , Alvaro A. A. Fernandes , Rizos Sakellariou
关键词: Distributed database 、 Sargable 、 Query optimization 、 Database 、 Query by Example 、 Web search query 、 View 、 Query language 、 Web query classification 、 RDF query language 、 Computer science 、 Query plan 、 Online aggregation 、 Query expansion
摘要: In wide-area database systems, which may be running on unpredictable and volatile environments (such as computational grids), it is difficult to produce efficient query plans based information available solely at compile time. A solution this problem exploit that becomes runtime adapt the plan changing conditions during execution. This paper presents a survey adaptive processing techniques, examining opportunities they offer modify dynamically classifying them into categories according focus on, their objectives, nature of feedback collect from environment, frequency can adapt, implementation environment component responsible for taking adaptation decisions.