Making Search Engines Faster by Lowering the Cost of Querying Business Rules Through FPGAs
Summary: Transforms BRMS rules into a non-deterministic finite automaton and maps it to FPGA to speed up MCT in airline search. Shows orders-of-magnitude speedups and potential 40% fewer machines, with on-prem and cloud validation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Fabio Maschi
- 2. Muhsen Owaida
- 3. Gustavo Alonso
- 4. Matteo Casalino
- 5. Anthony Hock-Koon
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 224 | High-Performance Complex Event Processing over Streams | 2006 | SIGMOD | 0.00024271556 |
| 3,680 | Complex Event Detection at Wire Speed with FPGAs | 2010 | VLDB | 7.2680762e-05 |
| 3,883 | Real-Time Multi-Pattern Detection over Event Streams | 2019 | SIGMOD | 7.1052819e-05 |
| 4,443 | Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture | 2019 | VLDB | 6.7557527e-05 |
| 7,762 | Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration | 2020 | VLDB | 5.6080354e-05 |
| 7,813 | Indexing and Selecting Hierarchical Business Logic | 2015 | VLDB | 5.6035684e-05 |
| 8,016 | Accelerating Pattern Matching Queries in Hybrid CPU-FPGA Architectures | 2017 | SIGMOD | 5.5639568e-05 |
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