Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum

Summary: Introduces ISQD, an incremental deployment framework for cloud-edge stream processors that redeploys only operators impacted by node churn. Ad-hoc state migration and reconfiguration markers preserve correctness, yielding up to 7.5× lower deployment and 39× lower event-time latency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h17154486b723eeda
Venue: VLDB
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,773 | 27.57%
DOI: 10.14778/3773749.3773759

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Ankit Chaudhary (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
2. Felix Lang (Technical University of Berlin)
3. Danila Ferents (Technical University of Berlin)
4. Nils L. Schubert (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
5. Varun Pandey (Technische Universität Nürnberg)
6. Jeyhun Karimov (Microsoft)
7. Steffen Zeuch (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
8. Kaustubh Beedkar (Indian Institute of Technology Delhi)
9. Volker Markl (Berlin Institute for the Foundations of Learning and Data; German National Research Center for Information Technology; Technical University of Berlin)

BibTeX Citation

@article{chaudhary_vldb26,
        title = {{Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum}},
        author = {Chaudhary, Ankit and Lang, Felix and Ferents, Danila and Schubert, Nils L. and Pandey, Varun and Karimov, Jeyhun and Zeuch, Steffen and Beedkar, Kaustubh and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {2},
        pages = {210--223},
        doi = {10.14778/3773749.3773759},
        url = {https://doi.org/10.14778/3773749.3773759},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,846	Meerkat: Scalable, Network-Aware Failure Recovery for the Internet of Things	2026	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
3,033	Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems	2018	VLDB	7.7337998e-05
3,370	Frontier: Resilient Edge Processing for the Internet of Things	2018	VLDB	7.3695613e-05
3,371	Dynamic Plan Migration for Continuous Queries Over Data Streams	2004	SIGMOD	7.3693585e-05
3,398	Megaphone: Latency-conscious state migration for distributed streaming dataflows	2019	VLDB	7.3353479e-05
3,922	Analyzing Efficient Stream Processing on Modern Hardware	2019	VLDB	6.9229432e-05
4,034	Exploiting Cloud Object Storage for High-Performance Analytics	2023	VLDB	6.8393244e-05
4,109	Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines	2020	SIGMOD	6.8008755e-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
6,599	AStream: Ad-hoc Shared Stream Processing	2019	SIGMOD	5.7404438e-05
7,839	ExDRa: Exploratory Data Science on Federated Raw Data	2021	SIGMOD	5.4432099e-05
8,014	AJoin: Ad-hoc Stream Joins at Scale	2020	VLDB	5.4070928e-05
8,691	Challenges and Opportunities for Autonomous Vehicle Query Systems	2021	CIDR	5.2905577e-05
10,305	Fast and Scalable Data Transfer Across Data Systems	2025	SIGMOD	5.0400722e-05
11,521	Fault Tolerance Placement in the Internet of Things	2024	SIGMOD	4.9793485e-05

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