DiAl: Distributed Streaming Analytics Anywhere, Anytime

Summary: DiAl combines JStreams, a lightweight JavaScript CEP engine for heterogeneous edge devices, with DiAlM, which manages analytics across changing cloud–edge topologies. A manufacturing demonstration shows seamless global monitoring and local alarm drill-down. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 10809
Venue: VLDB
Year: 2013
Pagerank: 5.3268358e-05
Overall Rank: 8,933 | 38.93%
DOI: 10.14778/2536274.2536322

Incoming Non-self Citations Over Time

Authors

1. Ivo Santos (Microsoft)
2. Marcel Tilly (Microsoft)
3. Badrish Chandramouli (Microsoft)
4. Jonathan Goldstein (Microsoft)

BibTeX Citation

@article{santos_vldb13,
        title = {{DiAl: Distributed Streaming Analytics Anywhere, Anytime}},
        author = {Santos, Ivo and Tilly, Marcel and Chandramouli, Badrish and Goldstein, Jonathan},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {12},
        pages = {1386--1389},
        doi = {10.14778/2536274.2536322},
        url = {https://doi.org/10.14778/2536274.2536322},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,451	Raising the ClaSS of Streaming Time Series Segmentation	2024	VLDB	5.5990746e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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