Resa

Tian Tan, Richard T.B. Ma, Marianne Winslett, Yin Yang, Yong Yu, Zhenjie Zhang
2013 Proceedings of the 2013 international conference on Management of data - SIGMOD '13  
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.
doi:10.1145/2463676.2465343 dblp:conf/sigmod/TanMWYYZ13 fatcat:5qflb25rn5edlhqpg5ddl5uhre