Cloud Computing Model Based on Hadoop
Lin Qing-ying
Abstract
Lin Qing-ying
Abstract
Hadoop is a distributed computing platform for easier development and parallel processing of large-scale data. Hadoop can be taken as the most popular open source cloud computing software platform. On the basis of a profound analysis and research on Hadoop distributed file system and parallel computing model Map/Reduce, presents the cloud computing model and implementation steps based on Hadoop.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Hadoop is a distributed computing platform for easier development and parallel processing of large-scale data. Hadoop can be taken as the most popular open source cloud computing software platform. On the basis of a profound analysis and research on Hadoop distributed file system and parallel computing model Map/Reduce, presents the cloud computing model and implementation steps based on Hadoop.
Key concepts: Computer science, Cloud computing, Data-intensive computing, Distributed File System, Distributed computing, Software, Operating system, Open source