Portals: A Showcase of Multi-Dataflow Stateful Serverless
Summary: Portals: an interactive, stateful dataflow composition framework that composes multiple dataflow graphs to run event‑driven serverless applications across cloud and edge with strong end‑to‑end guarantees. Uniquely provides cross‑dataflow failure resilience and dynamic composition. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jonas Spenger
- 2. Chengyang Huang
- 3. Philipp Haller
- 4. Paris Carbone
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Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 538 | The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing | 2015 | VLDB | 0.00020678804 |
| 1,632 | Cloudburst: Stateful Functions-as-a-Service | 2020 | VLDB | 0.0001107213 |
| 5,187 | Stateful Functions as a Service in Action | 2019 | VLDB | 5.6400706e-05 |
| 6,698 | Netherite: Efficient Execution of Serverless Workflows | 2022 | VLDB | 4.9573729e-05 |
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