Increasing the Speed of Incremental View Maintenance Using the Cuckoo Algorithm

Data warehouse is a repository of integrated data that is collected from various sources. Data warehouse has the capability to maintain data from various sources in its view form. So the view should be maintained and during changes of the sources they should also be updated. Since the increase in updates may cause costly overhead, therefore it is necessary to update views with high accuracy. The algorithm presented in this paper is the combination of a grouping approach with Cuckoo heuristic Algorithm that reduces maintenance time of views and thus speed up maintenance time. Cuckoo optimization algorithm begins with an initial population. Trying to survive of the Cuckoo makes the base for optimization algorithm. The results show that the Cuckoo algorithm implementation compared with previous methods is faster in order to update its incremental view.