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GRANO: Interactive Graph-based Root Cause Analysis for Cloud-Native Distributed Data Platform

Summary: Grano integrates time-series anomaly detection with topology-aware anomaly graphs to rank component-level root causes in cloud-native data platforms. Its interactive RCA interface correlates alarms and application events, reducing eBay production diagnosis from hours to minutes. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12094
Venue
VLDB
Year
2019
Pagerank
6.0809893e-05
Overall Rank
5,806 | 60.17%
DOI
10.14778/3352063.3352105

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb19,
        title = {{GRANO: Interactive Graph-based Root Cause Analysis for Cloud-Native Distributed Data Platform}},
        author = {Wang, Hanzhang and Nguyen, Phuong and Li, Jun and Kopru, Selcuk and Zhang, Gene and Katariya, Sanjeev and Ben-Romdhane, Sami},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1942--1945},
        doi = {10.14778/3352063.3352105},
        url = {https://doi.org/10.14778/3352063.3352105},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,506 BALANCE: Bayesian Linear Attribution for Root Cause Localization 2023 SIGMOD 5.6029996e-05
9,875 Reliability Analytics for Cloud Based Distributed Databases 2020 SIGMOD 5.2043672e-05
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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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