An Adaptive Resource Management for Adjust Window Sizes & Time Granularities in Data Stream Management Systems

DSMS need to control its resources adaptively as stream characteristics and its query workload vary over time. To analysis an approach to adaptive resource management to adjusts window sizes and time granularities for continuous sliding window queries to keep resource usage within limits. In order to quantify the impact of the two techniques on a query plan, to evaluating the cost based system for the resource allocation. An throughout the experimental analyzes to demonstrate the effectiveness, scalability and accuracy of the cost based system.