Predictable Performance for Unpredictable Workloads
Summary: Crescando delivers guaranteed latency and data freshness for unpredictable workloads via parallel in-memory scans and query-data joins. Describes the Crescando storage node, its algorithms and implementation, benchmarks showing broad workload guarantees. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. P. Unterbrunner
- 2. G. Giannikis
- 3. G. Alonso
- 4. D. Fauser
- 5. D. Kossmann
Incoming Citations (Sorted by Pagerank)
Showing 36 of 36 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,429 | A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses | 2009 | VLDB | 0.00012033518 |
| 4,132 | Advanced Join Strategies for Large-Scale Distributed Computation | 2014 | VLDB | 6.4241067e-05 |
| 8,781 | Accelerate Distributed Joins with Predicate Transfer | 2025 | SIGMOD | 4.4534753e-05 |
| 718 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD | 0.0001763106 |
| 3,804 | Distributing a Search Tree Among a Growing Number of Processors | 1994 | SIGMOD | 6.7525564e-05 |
| 7,134 | Incremental Elasticity For Array Databases | 2014 | SIGMOD | 4.822331e-05 |
| 7,715 | Query Centric Partitioning and Allocation for Partially Replicated Database Systems | 2017 | SIGMOD | 4.6699261e-05 |
| 4,455 | Generalized Scale Independence Through Incremental Precomputation | 2013 | SIGMOD | 6.171182e-05 |
| 1,957 | On the Design and Scalability of Distributed Shared-Data Databases | 2015 | SIGMOD | 9.9598319e-05 |
| 6,103 | Crescando | 2010 | SIGMOD | 5.2086701e-05 |