Rate-Sensitive Load Shedding in Data Stream Systems

Traditional load shedding algorithms for data stream systems calculate current operator selectivity over several run periods and use them to determine where to shed load during the next run period. In this paper, we show that the current selectivity may change due to the implementation of load shedding. Our algorithm, called RLS, determines the optimum drop location by these changed selectivity rather than those precalculated values. Simulation results demonstrate that RLS achieves higher accuracy than traditional algorithms. key words: load shedding, data streams mining, query processing