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: h5014aaf77ed375ae
Venue: VLDB
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,733 | 27.84%
DOI: 10.14778/3773749.3773755

Incoming Non-self Citations Over Time

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Authors

1. Dimitrios Banelas (Technical University of Crete)
2. Alkis Simitsis (Athena Research Center)
3. Nikos Giatrakos (Technical University of Crete)

BibTeX Citation

@article{banelas_vldb26,
        title = {{APEROL: Adaptive Parallel Edge-to-cloud Runtime Optimization for Layered Workflow Execution}},
        author = {Banelas, Dimitrios and Simitsis, Alkis and Giatrakos, Nikos},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {2},
        pages = {156--169},
        doi = {10.14778/3773749.3773755},
        url = {https://doi.org/10.14778/3773749.3773755},
        year = {2026}
}

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
1,123	Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark	2018	SIGMOD	0.0001193233
1,233	Dhalion: Self-Regulating Stream Processing in Heron	2017	VLDB	0.00011405873
3,339	Optimizing Analytic Data Flows for Multiple Execution Engines	2012	SIGMOD	7.4080114e-05
3,398	Megaphone: Latency-conscious state migration for distributed streaming dataflows	2019	VLDB	7.3353479e-05
3,402	RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -	2018	VLDB	7.3304477e-05
3,922	Analyzing Efficient Stream Processing on Modern Hardware	2019	VLDB	6.9229432e-05
4,613	Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies	2024	VLDB	6.5016725e-05
5,343	The NebulaStream Platform: Data and Application Management for the Internet of Things	2020	CIDR	6.1708665e-05
7,255	Showcasing Data Management Challenges for Future IoT Applications with NebulaStream	2023	VLDB	5.5725581e-05
7,370	NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications	2025	SIGMOD	5.5407456e-05
8,479	Skyline Operator on Anti-correlated Distributions	2013	VLDB	5.3332727e-05
9,800	Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework	2025	SIGMOD	5.1257999e-05
9,807	INEv: In-Network Evaluation for Event Stream Processing	2023	SIGMOD	5.1257999e-05
9,813	Dhalion in Action: Automatic Management of Streaming Applications	2018	VLDB	5.1257999e-05
9,815	IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows	2015	SIGMOD	5.1257999e-05
9,819	Borealis-R: A Replication-Transparent Stream Processing System for Wide-Area Monitoring Applications	2008	SIGMOD	5.1257999e-05

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