Abstract

we are living in the data world. It is not easy to measure the total volume of data stored electronically. They are in the unit of zettabytes or exabytes referred as Big Data. It can be unstructured, structured or semi structured, they are not convenient to store as well as process with normal data management methods and with machine having limited computational power. Hadoop system is used to process large datasets with efficient and inexpensive manner. MapReduce program is used to collect data as per the request. To process large volume of data proper scheduling is required to achieve greater performance. The objective of the research is to study MapReduce and analyze different scheduling algorithms that can be used to achieve better performance in scheduling.

Authors and Affiliations