Private cloud computing system based on dynamic service adaptable to large-scale data processing

In order to deal with problem in private cloud environment caused by computing tasks with large amount of data,intensive computing and complex processing,an implementation of private cloud system based on dynamic service was proposed on the basis of public cloud computing and the characteristics of private cloud environment,which was able to adapt large-scale data processing.In this implementation,computing tasks were described by job files,processing workflows were constructed dynamically by job logic,service requests were driven by data streams and the large-scale data processing could be reflected more efficiently in MapReduce parallel framework.The experimental results show that this implementation offers a high practical value,can deal with computing tasks with large amount of data,intensive computing and complex processing correctly and efficiently.