MapReduce task scheduling based on deadline constraints —A study
R. Saravanan, P. Victer Paul, R. Subamangalam, S. Subashini · 2017
In the data world, it is not easy to calculate the total capacity of records deposited electronically, in the unit of zeta bytes, yotta bytes stated as Big Data. Hadoop system is used to process huge datasets efficiently and inexpensively. MapReduce program is used to assemble data as per the request, and simple parallel programming model designed for scalability and work distribution on commodity hardware in a consistent approach. To achieve greater performance proper scheduling is required. This paper reports the survey work on Task Scheduling under Deadline Constraint using Map Reduce programming framework. Also this article presented various existing tactics, implementation idea, advantages and disadvantages on Deadline Constraints.