Cited By
View all- Chakrabarti SRamakrishnan GRamamritham KSarawagi SSudarshan S(2013)Data-based research at IIT BombayACM SIGMOD Record10.1145/2481528.248153642:1(38-43)Online publication date: 1-May-2013
Scalable Execution of Continuous Aggregation Queries over Web Data
Abstract
Data delivered over the Internet is increasingly being used to provide dynamic and personalized user experiences. Queries over fast-changing data from distributed data sources are executed to create content to be delivered to users. Because these queries require data from multiple sources, they're executed at intermediate proxies or data aggregators. The authors discuss various techniques for executing aggregation queries over distributed data to minimize the number of message exchanges between data sources, aggregators, and users. They carefully examine the problem in terms of different types of queries, aggregation functions, query imprecisions, and whether the aggregators get data from sources using pull- or push-based mechanisms.
- Scalable Execution of Continuous Aggregation Queries over Web Data
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Copyright © 2012.
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IEEE Educational Activities Department
United States
Publication History
Published: 01 January 2012
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Cited By
View all- Chakrabarti SRamakrishnan GRamamritham KSarawagi SSudarshan S(2013)Data-based research at IIT BombayACM SIGMOD Record10.1145/2481528.248153642:1(38-43)Online publication date: 1-May-2013
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