A Brief Review on scheduling algorithms of MapReduce Optimization Techniques

Abstract

Abstract With the increase in size and complexity if modern datasets, the world is faced with new challenges in the automation and scalability of the very large data sets. Scheduling has been an active area of research in computing systems since their inception. The main objective is to study MapReduce framework, MapReduce model, scheduling in hadoop, various scheduling algorithms and various optimization techniques in job scheduling. Scheduling algorithms of MapReduce model using hadoop vary with design and behaviour, and are used for handling many issues like data locality, awareness with resource, energy and time.