Scalable Technique to Answer Continuous Aggregation Queries Using Network Of Aggregators Of Dyanmic Data Items

Abstract

Continuous aggregation queries are used to monitor the changes in data with time varying for online decision making. For continuous queries, a low-cost and scalable technique using a network of aggregators. Individual node cannot by itself determine its inclusion in the query result for this a different algorithmic challenges from aggregate and selection queries are presented. At specific coherencies each data item can serve for a set of data aggregators. Technique involves disseminating query into sub query and sub queries are executed on the chosen data aggregators. we build a query cost model which can be used to estimate the number of refresh messages which is required to satisfy the client specified incoherency bound. Performance results shows that by our method the query can be executed using less than one third the messages required for existing schemes.

Authors and Affiliations

Shivaraman S, Shobana . B. T

Keywords

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  • EP ID EP27567
  • DOI -
  • Views 296
  • Downloads 5

How To Cite

Shivaraman S, Shobana . B. T (2013). Scalable Technique to Answer Continuous Aggregation Queries Using Network Of Aggregators Of Dyanmic Data Items. International Journal of Research in Computer and Communication Technology, 2(4), -. https://europub.co.uk./articles/-A-27567