A Case for Staged Database Systems
Summary: Replace monolithic, work-centric threaded DBMS with a staged, data-centric architecture: self-contained stages connected by queues, each owning data, resources, and local scheduling. Yields better cache locality, resource isolation, and evolvability under changing workloads. (summarized by gpt-5-mini on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,950 | Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship | 2015 | VLDB | 4.1945683e-05 |
| 8,571 | Performance and Scalability of Client-Server Database Architectures | 1992 | VLDB | 4.4937074e-05 |
| 8,858 | Automatic Contention Detection and Amelioration for Data-Intensive Operations | 2010 | SIGMOD | 4.4344518e-05 |
| 9,743 | Databases in the Era of Memory-Centric Computing | 2025 | CIDR | 4.2897489e-05 |
| 2,778 | Database Servers on Chip Multiprocessors: Limitations and Opportunities | 2007 | CIDR | 8.1321802e-05 |
| 124 | DBMSs On A Modern Processor: Where Does Time Go? | 1999 | VLDB | 0.00045103515 |
| 1,700 | Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads | 2016 | SIGMOD | 0.00010858865 |
| 1,957 | On the Design and Scalability of Distributed Shared-Data Databases | 2015 | SIGMOD | 9.9598319e-05 |
| 2,582 | Database Architectures for New Hardware | 2004 | VLDB | 8.5007371e-05 |
| 13,964 | Ubiquitous, Self-tuning, Scalable Servers | 1998 | SIGMOD | - |