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CARTILAGE: Adding Flexibility to the Hadoop Skeleton

Summary: CARTILAGE: a storage framework on HDFS offering fine-grained partitioning, replication, layouts, and placement. Layered atop existing HDFS, CARTILAGE avoids core changes and lets Hadoop and other engines adopt it with diverse use-cases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4732
Venue
SIGMOD
Year
2013
Pagerank
5.4574671e-05
Overall Rank
8,276 | 43.22%
DOI
10.1145/2463676.2465258

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jindal_sigmod13,
        title = {{CARTILAGE: Adding Flexibility to the Hadoop Skeleton}},
        author = {Jindal, Alekh and Quiané-Ruiz, Jorge and Madden, Samuel},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465258},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465258},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,398 BigDansing: A System for Big Data Cleansing 2015 SIGMOD 8.631172e-05
9,742 Unified Data Analytics: State-of-the-art and Open Problems 2022 VLDB 5.227679e-05
12,268 Mosquito: Another One Bites the Data Upload STream 2013 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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