Back to papers
APEROL: Adaptive Parallel Edge-to-cloud Runtime Optimization for Layered Workflow Execution
Summary: APEROL introduces a signature-based, parallel plan-enumeration framework for scalable operator placement across the cloud–edge continuum, offering exhaustive, heuristic, greedy and sampling optimizers to trade off speed vs. plan quality. Rapidly adapts to dynamic streams and churn (up to 2M candidate plans/sec) and proves effective on 5 workflows across tens–thousands of IoT sites.
(summarized by gpt-5-mini on Mar 13 2026)
- Paper ID
- 14300
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,263 | 28.61%
- DOI
-
10.14778/3773749.3773755
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 1,084 |
Dhalion: Self-Regulating Stream Processing in Heron |
2017 |
VLDB |
0.00014209714 |
| 1,548 |
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark |
2018 |
SIGMOD |
0.00011431383 |
| 3,265 |
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! - |
2018 |
VLDB |
7.3083672e-05 |
| 3,458 |
Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies |
2024 |
VLDB |
7.0748084e-05 |
| 3,710 |
Optimizing Analytic Data Flows for Multiple Execution Engines |
2012 |
SIGMOD |
6.8238962e-05 |
| 4,044 |
Megaphone: Latency-conscious state migration for distributed streaming dataflows |
2019 |
VLDB |
6.4995312e-05 |
| 4,488 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.145117e-05 |
| 5,427 |
The NebulaStream Platform: Data and Application Management for the Internet of Things |
2020 |
CIDR |
5.509468e-05 |
| 7,214 |
Showcasing Data Management Challenges for Future IoT Applications with NebulaStream |
2023 |
VLDB |
4.7988365e-05 |
| 9,473 |
Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework |
2025 |
SIGMOD |
4.3341665e-05 |
| 9,474 |
NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications |
2025 |
SIGMOD |
4.3341665e-05 |
| 9,488 |
INEv: In-Network Evaluation for Event Stream Processing |
2023 |
SIGMOD |
4.3341665e-05 |
| 9,501 |
Dhalion in Action: Automatic Management of Streaming Applications |
2018 |
VLDB |
4.3341665e-05 |
| 9,503 |
IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows |
2015 |
SIGMOD |
4.3341665e-05 |
| 9,505 |
Skyline Operator on Anti-correlated Distributions |
2013 |
VLDB |
4.3341665e-05 |
| 9,508 |
Borealis-R: A Replication-Transparent Stream Processing System for Wide-Area Monitoring Applications |
2008 |
SIGMOD |
4.3341665e-05 |
Semantically Similar Papers