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Driven by the rapid growth of large scale real-time data mining applications for personalized ads and content recommendations, distributed stream processing systems are widely applied in modern big-data architectures. Designs of existing stream computing systems are mostly focusing on the scalability and availability issues. Other important issues which are essential to the actual cost and productivity,...
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