期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：3
页码：0719-0724
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Map Reduce helps to retrieve a large amount of data through the analysis of queries effectively. Usually it handles data in homogeneous way. However, in this paper it has been postulated that heterogeneous phase level scheduling can also be done by using Jobs Execution Scheduling that helps in dividing the resources in smaller units for easy search to save time. This facilitates not only in reducing time but also the work can be done effectively and efficiently. This enhances the parallel execution and utilization of data. The stretch extent both for running and the completion is highly reduced due to Energy Efficient Algorithm
