Resa: Realtime Elastic Streaming Analytics in the Cloud

Summary: Resa is a robust, elastic, realtime streaming framework for the cloud. Dynamic operator-node add/remove and a node-reassignment scheme using a queuing model minimize output latency; implemented atop Twitter Storm and validated with real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4811
Venue: SIGMOD
Year: 2013
Pagerank: 5.093636e-05
Overall Rank: 12,255 | 15.92%
DOI: 10.1145/2463676.2465343

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Tian Tan (Advanced Digital Sciences Center; Shanghai Jiao Tong University)
2. Yin Yang (Advanced Digital Sciences Center)
3. Richard T. B. Ma (Advanced Digital Sciences Center)
4. Yong Yu (Shanghai Jiao Tong University)
5. Marianne Winslett (Advanced Digital Sciences Center)
6. Zhenjie Zhang (Advanced Digital Sciences Center)

BibTeX Citation

@inproceedings{tan_sigmod13,
        title = {{Resa: Realtime Elastic Streaming Analytics in the Cloud}},
        author = {Tan, Tian and Yang, Yin and Ma, Richard T. B. and Yu, Yong and Winslett, Marianne and Zhang, Zhenjie},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465343},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465343},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
12,203	Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data	2014	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
150	Query Processing, Resource Management, and Approximation in a Data Stream Management System	2003	CIDR	0.00029208207

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