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To Analyze Power Consumption and Quality of Service using Map Reduce on Hadoop: A Survey
Author(s) -
Sandeep Rai,
Aishwarya Namdev
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018918059
Subject(s) - computer science , power consumption , consumption (sociology) , quality (philosophy) , service (business) , service quality , quality of service , database , power (physics) , data mining , data science , operations research , telecommunications , business , marketing , social science , philosophy , physics , epistemology , quantum mechanics , sociology , engineering
Data is growing at a rate which cannot be handled by the traditional methods of computing. To store and process such data new data analysis and storage techniques have emerged over the last few years. Hadoop is one such parallel processing open source framework which provides distributed storage and processing of Big data. Big Data analytics has emerged as an attractive domain of research these days. For handling big data cloud computing has been used and back end of thetechnology is cluster of resources. Cluster of resources can be formed using a framework like Apache Hadoop. In this paper a survey is performed on big data analysis using Apache Hadoop and other utility tools. For better performance of cloud Quality of service and power consumption should be optimal. So in this survey is discuss resolves around Quality of Service and energy consumption.

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