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- W2610769668 abstract "The volume of data these services work with interest in parallel processing of commodity cluster. The example of Map reduce is goggle uses the framework to process large amount of data. Other Internet service such as E-commerce website and social networking uses Map Reduce framework. Basically Map Reduce is a framework for preparing large amount of sets gives utilize adhoc solution, issues like web indexing, Data sorting, data searching. Map Reduce framework use for better scheduling so that less strangler occur in the machine. At the time when the strangler occur in the machine the performance of the machine is degrade the machine become slow. There are various technique used to improve the scheduling such as LATE,spectacular execution , smart spectacular execution.In my research I proposed new technique used in hadoop by using Machine learning. The machine learning technique is proactive techinique. In the proposed model the straggler will be find as soon as possible and improved the scheduling. In this model the straggler found with there past experience task so that tranning period of slave machine will be reduce." @default.
- W2610769668 created "2017-05-12" @default.
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- W2610769668 date "2017-04-01" @default.
- W2610769668 modified "2023-09-24" @default.
- W2610769668 title "IMPROVEMENT OF SCEDULING IN HADOOP USING MACHINE LEARNING" @default.
- W2610769668 hasPublicationYear "2017" @default.
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