USER STORAGE ALLOCATION IN VIRTUAL MACHINE USING MAP-REDUCED SYSTEM
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AIM/MOTIVATIONAbstract
The Data allocation paradigm has become very popular and useful tool since its introduction. Many large companies have found intuitive ways to incorporate simultaneous processing techniques into their current needs and operations. A driving force of the growth in the popularity of Map-Reduce is the need for a system to handle and process data. Map-Reduce is a system, which can handle varied quantities of data. With varying amounts of data getting created, there has been a need to increase the capacity of processing of current mechanisms. Due to these issues, many researchers in the past have tried to focus on making allocation of users to various virtual environments using various. More recently, the idea of storage allocation has become popular. The idea is to run virtual machines for storing varied capacity resources. Since these machines are virtual, we can spin up as many identical machines as the project calls in future scope.
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