Flower: A Data Analytics Flow Elasticity Manager
Summary: Flower is a holistic elasticity manager for cloud data analytics flows, using optimization and control theory. It offers workload dependency analysis, dynamic provisioning, and cross-platform monitoring, demonstrated on a real flow. (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
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,987 | TIRAMOLA: Elastic NoSQL Provisioning Through a Cloud Management Platform | 2012 | SIGMOD | 9.8506975e-05 |
| 2,234 | PerfEnforce Demonstration: Data Analytics with Performance Guarantees | 2016 | SIGMOD | 9.2272296e-05 |
Previous
Page 1 / 1
Next