Tian Tan, Richard T. B. Ma, M. Winslett, Y. Yang, Yong Yu, Zhenjie Zhang
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Resa: realtime elastic streaming analytics in the cloud
We propose Resa, a novel framework for robust, elastic and realtime stream processing in the cloud. In addition to traditional functionalities of streaming and cloud systems, Resa provides (i) a novel mechanism that handles dynamic additions and removals nodes in an operator, and (ii) a node re-assignment scheme that minimizes output latency using a queuing model. We have implemented Resa on top of Twitter Storm. Experiments using real data demonstrate the effectiveness and efficiency of Resa.