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