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Map-reduce-merge: simplified relational data processing on large clusters
Abstract
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process a vast amount of data on large clusters of commodity machines. Through a simple interface with two functions, map and reduce, this model facilitates parallel implementation of many real-world tasks such as data processing jobs for search engines and machine learning.
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Citations
Cited by
(2010) · Cited by 4,411
Scientific Cloud Computing: Early Definition and Experience
Wang, L., Tao, J., Kunze, M., Castellanos, A. C., Kramer, D., & Karl, W. (2008) · 2008 10th IEEE International Conference on High Performance Computing and Communications · doi:10.1109/hpcc.2008.38 · Cited by 532
A comparison of join algorithms for log processing in MaPreduce
Blanas, S., Patel, J. M., Ercegovac, V., Rao, J., Shekita, E. J., & Tian, Y. (2010) · Proceedings of the 2010 ACM SIGMOD International Conference on Management of data · doi:10.1145/1807167.1807273 · Cited by 414
Machine Learning Based Trust Computational Model for IoT Services
Jayasinghe, U., Lee, G. M., Um, T.-W., & Shi, Q. (2019) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2018.2839623 · Cited by 256
Khan, W., Kumar, T., Zhang, C., Raj, K., Roy, A. M., & Luo, B. (2023) · Big Data and Cognitive Computing · doi:10.3390/bdcc7020097 · Cited by 143
Metadata
- Authors
- Yang, H.-C., Dasdan, A., Hsiao, R.-L., & Parker, D. S.
- Venue
- Proceedings of the 2007 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2007-06-11
- Pages
- 1029-1040
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2154894831
- Cited by
- 715
- References
- 0
- FWCI
- 35.14
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Map-reduce-merge: simplified relational data processing on large clusters. https://app.cochat.ai/papers/10.1145/1247480.1247602
- The paper
- Yang, H.-C., Dasdan, A., Hsiao, R.-L., & Parker, D. S. (2007). Map-reduce-merge: simplified relational data processing on large clusters. Proceedings of the 2007 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/1247480.1247602
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
