Abstract
Integration of cloud and big data very difficult and challenging task and to find the number of resources to complete their job is very difficult and challenging. So, virtualization is implemented it involves 3 phases map reduce, shuffle phase and reduce phase. Many researchers have been done already they have applied Heterogeneousmap reduce application and they use least-work-left policy technique to distributed server system. In this paper we have discussed about virtualization is used for hadoop jobs for effective data processing and to find the processing time of job and balance partition algorithm is used. The main objective is to implement virtualization in our local machines.
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