DBScholar

Back to papers

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
10606
Venue
VLDB
Year
2012
Pagerank
8.7013171e-05
Overall Rank
2,357 | 83.84%
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.

Previous Page 1 / 1 Next

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 0.00052982574
111 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032990214
127 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00030738755
1,353 SPADE: The System S Declarative Stream Processing Engine 2008 SIGMOD 0.00011061346
2,265 A Platform for Scalable One-Pass Analytics using MapReduce 2011 SIGMOD 8.8398946e-05
4,175 Nova: Continuous Pig/Hadoop Workflows 2011 SIGMOD 6.8511274e-05
Previous Page 1 / 1 Next

Semantically Similar Papers