Optimization techniques on job scheduling and resource allocation for MapReduce system

Optimization techniques on job scheduling and resource allocation for MapReduce system

MapReduce has become a popular high performance computing paradigm for large-scale data processing. Hadoop, an open source implementation of MapReduce, has been widely deployed in large clusters containing thousands of machines by companies such as Yahoo! and Facebook to support batch processing for...

Full description

Bibliographic Details
Main Author: Tang, Shanjiang
Other Authors: Lee Bu Sung, Francis
Format: Thesis
Language:English
Published: 2015
Subjects:
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Special-purpose and application-based systems
Online Access:https://hdl.handle.net/10356/64312

Internet

https://hdl.handle.net/10356/64312

Similar Items