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Thoth: Towards Managing a Multi-System Cluster

Summary: DBMS+ provides a DB-centric layer over diverse systems to co-manage a multi-system cluster (Thoth DM). Demonstrates adaptive provisioning, a data-layout recommender app coordinating a data warehouse across Hive, Hadoop, Shark, Spark, and HDFS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11040
Venue
VLDB
Year
2014
Pagerank
5.093636e-05
Overall Rank
12,199 | 16.31%
DOI
10.14778/2733004.2733062

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@article{kunjir_vldb14,
        title = {{Thoth: Towards Managing a Multi-System Cluster}},
        author = {Kunjir, Mayuresh and Kalmegh, Prajakta and Babu, Shivnath},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1689--1692},
        doi = {10.14778/2733004.2733062},
        url = {https://doi.org/10.14778/2733004.2733062},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,982 Thoth in Action: Memory Management in Modern Data Analytics 2017 VLDB 5.1844786e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,054 Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads 2012 VLDB 0.00012390673
2,722 Automatic Physical Design Tuning: Workload as a Sequence 2006 SIGMOD 8.206711e-05
3,202 How to Fit when No One Size Fits 2013 CIDR 7.6409287e-05
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