Name
Abstract | ||
|---|---|---|
The utilities of data nowadays have been significantly improved due to discovery of latent data features from big data. However, one critical issue of discovering the knowledge in big data is people have to process large volumes of data but using very limited computing resources. In order to solve the problem, people developed a series of distributed computing technologies among which Hadoop framework is proved to be the most famous one due to its reliability and scalability. Hadoop framework highly relies on Linux operating system for functionalizing its components. However, the latest released versions of the framework only support 32bit Linux operating systems, which may less utilize the resources due to system limitation. Therefore, for enabling Hadoop framework in supporting 64bit operating system and observing its performances, this paper creates a 64 bit Hadoop framework and further evaluates the performances based on a standard benchmark algorithm wordcount in both 32bit and 64bit operating systems. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) | MapReduce, Hadoop compilation, Ganglia |
Field | DocType | Citations |
Data-intensive computing,Computer science,Big data,Operating system,Scalability | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yang liu | 1 | 151 | 11.93 |
| Jie Yang | 2 | 0 | 2.70 |
| Yuan Huang | 3 | 0 | 0.34 |
| Xu, Lixiong | 4 | 26 | 3.39 |