Open Access
| Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
|---|---|---|
| Article Number | 05009 | |
| Number of page(s) | 6 | |
| Section | Session 5: Information Processing Methods and Techniques | |
| DOI | https://doi.org/10.1051/itmconf/20171205009 | |
| Published online | 05 September 2017 | |
- Dean J, Ghemawat S. MapReduce: simplified data processing on large clusters. Communications of the ACM. 2008, 51 (1): 107–113. [CrossRef] [Google Scholar]
- Gantz J, Reinsel D The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east. IDC iView: IDC Analyze the Future. 2012, 2007: 1–16. [Google Scholar]
- China Computer Society Big Data Expert Committee China Big Data Technology and Industry Development White Paper, 2013. [Google Scholar]
- Barwick H. The “four Vs” of Big Data. Implementing Information InfrastructureSymposium, 2012. [Google Scholar]
- Apache Hadoop MapReduce. https://hadoop.apache.org. [Google Scholar]
- Pavlo A, Paulson E, Rasin A, et al. A comparison of approaches to large-scale dataanalysis. In Proceedings of the 2009 ACM SIGMOD International Conferenceon Management of data. 2009: 165–178. [Google Scholar]
- Melnik S, Gubarev A, Long J J, et al. Dremel: Interactive Analysis of Web-ScaleDatasets. In Proc. of the 36th Int’l Conf on Very Large Data Bases. 2010:330–339. [Google Scholar]
- Apahce Giraph. http://giraph.apache.org/. [Google Scholar]
- Xin R S, Gonzalez J E, Franklin M J, et al. Graphx: A resilient distributed graphsystem on spark. In First International Workshop on Graph Data ManagementExperiences and Systems. 2013: 2. [Google Scholar]
- GraphLab: A New Parallel Framework for Machine Learning. http://www.select.cs.cmu.edu/code/graphlab/. [Google Scholar]
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