USER STORAGE ALLOCATION IN VIRTUAL MACHINE USING MAP-REDUCED SYSTEM

The Data allocation paradigm has become very popula r and useful tool since its introduction. Many large companies have found intuitive ways to i ncorporate 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 t o handle and process data. Map-Reduce is a system,which can handle varied quantities of dat a. With varying amounts of data getting created,there has been a need to increase the capa city of processing of current mechanisms. Due to these issues,many researchers in the past h ave 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 v irtual 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. While this seems lik e a good fix to the heterogeneous Map- Reduce cluster problem,it leads itself to other is sues that we will address. This paper will address a major issue in selecting virtual machines that will improve working for user allocation for storage of user data.

https://www.ijiert.org/paper-details?paper_id=140692