Time-Space Scheduling in the MapReduce Framework

As data are the basis of information systems, using Hadoop to rapidly extract useful information from massive data of an enterprise has become an efficient method for programmers in the process of application development. This chapter introduces the MapReduce framework, an excellent distributed and parallel computing model. For the increasing data and cluster scales, to avoid scheduling delays, scheduling skews, poor system utilization, and low degrees of parallelism, some improved methods that focus on the time and space scheduling of reduce tasks in MapReduce are proposed in this chapter. Through analyzing the MapReduce scheduling mechanism, this Some significant language editing was done. please check.