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Optimization of Query Streams Using Semantic Prefetching

Summary: Introduces Scalpel, a system that detects patterns in query streams and uses context-based predictions for semantic prefetching. Learns optimizable patterns in training and merges queries into a single request, reducing latency and cost. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3518
Venue
SIGMOD
Year
2004
Pagerank
5.1478286e-05
Overall Rank
6,217 | 56.80%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,164 Sloth: Being Lazy is a Virtue (When Issuing Database Queries) 2014 SIGMOD 6.3859482e-05
7,847 ChronoCache: Predictive and Adaptive Mid-Tier Query Result Caching 2020 SIGMOD 4.632377e-05
9,144 EIRES: Efficient Integration of Remote Data in Event Stream Processing 2021 SIGMOD 4.3810125e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
513 Efficiently Publishing Relational Data as XML Documents 2000 VLDB 0.00021365031
1,178 Efficient Evaluation of XML Middle-ware Queries 2001 SIGMOD 0.00013463399
4,132 Optimization of Run-time Management of Data Intensive Web Sites 1999 VLDB 6.4187496e-05
7,301 Context-Based Prefetch for Implementing Objects on Relations 1999 VLDB 4.7639433e-05
7,563 Client-Site Query Extensions 1999 SIGMOD 4.7053932e-05
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