@inproceedings{d9aff20cb531495789a949a82d21a139,
title = "Resa: Realtime elastic streaming analytics in the cloud",
abstract = "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.",
keywords = "Cloud, Migration, Resource allocation, Stream",
author = "Tian Tan and Yin Yang and Ma, {Richard T.B.} and Yong Yu and Marianne Winslett and Zhenjie Zhang",
year = "2013",
doi = "10.1145/2463676.2465343",
language = "English",
isbn = "9781450320375",
series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",
pages = "1287",
booktitle = "SIGMOD 2013 - International Conference on Management of Data",
note = "2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013 ; Conference date: 22-06-2013 Through 27-06-2013",
}