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Muppet: MapReduce-Style Processing of Fast Data

Summary: Introduces MapUpdate/Muppet, a MapReduce-style framework for continuously processing high-volume data streams on clusters with low latency and high scalability. Reworks batch-oriented MapReduce for fast-data challenges, validated in social-media and e-commerce deployments. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h273eaf9138386a75
Venue
VLDB
Year
2012
Pagerank
8.5227959e-05
Overall Rank
2,397 | 83.89%
DOI
10.14778/2367502.2367528

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lam_vldb12,
        title = {{Muppet: MapReduce-Style Processing of Fast Data}},
        author = {Lam, Wang and Liu, Lu and Prasad, STS and Rajaraman, Anand and Vacheri, Zoheb and Doan, AnHai},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1814--1825},
        doi = {10.14778/2367502.2367528},
        url = {https://doi.org/10.14778/2367502.2367528},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
26 Models and Issues in Data Stream Systems 2002 PODS 0.00052121228
112 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032459277
127 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00030427614
1,386 SPADE: The System S Declarative Stream Processing Engine 2008 SIGMOD 0.00010843396
2,282 A Platform for Scalable One-Pass Analytics using MapReduce 2011 SIGMOD 8.6964781e-05
4,254 Nova: Continuous Pig/Hadoop Workflows 2011 SIGMOD 6.7011496e-05
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