A dynamic service private cloud system adapting to large scale data processing
Wangzhu, Merlin, Lilei, Chang, Hu Guang
Absrtact: In order to meet the needs of computing tasks with large data, dense computation and complicated process, and using the theory and technology of public cloud computing, and combining the characteristics of private cloud environment, this paper proposes a scheme of dynamic service private cloud system adapting to large-scale data processing. This scheme uses the job file to describe the computing task, constructs the processing work flow dynamically with the job logic structure, and introduces the MapReduce parallel framework to carry on the large-scale data processing through the traffic driving service request.
Key words: Cloud computing Private cloud computing data stream driven dynamic service parallel processing
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