Adaptive data transformations for QaaS
Summary: Apply query-driven lightweight transformations (transcoding, chunking, sorting) via serverless functions to reshape semi-structured data for QaaS, offsetting lack of indexes to reduce latency and cost. Propose a cloud middleware that adaptively selects transformations per data/query under user-specified latency/cost budgets and empirically evaluates the trade-offs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dimitrios Koutsoukos
- 2. Renato Marroquín
- 3. Ingo Müller
- 4. Ana Klimovic
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,730 | UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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