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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Tian Tan
- 2. Yin Yang
- 3. Richard T. B. Ma
- 4. Yong Yu
- 5. Marianne Winslett
- 6. Zhenjie Zhang
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,005 | Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data | 2014 | VLDB | 4.1945683e-05 |
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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 |
|---|---|---|---|---|
| 194 | Query Processing, Resource Management, and Approximation in a Data Stream Management System | 2003 | CIDR | 0.00035426067 |
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