Towards optimization of Hadoop Map reduce jobs on cloud
Adepu Sree Lakshmi, M. BalRaju, N. Subhash Chandra · 2016
Hadoop is commonly used framework for solving applications which deal with large volumes of data. Most of the current day applications require large storage and computation to be performed. Hadoop jobs are executed in cloud as cloud environment provides flexible provision, maintenance and scalability of resources. Hadoop framework can be improved in terms of parameter automation and map reduce tasks scheduling with respect to the virtual machine states and job characteristics.