DocumentCode :
3745718
Title :
A Survey on MapReduce Scheduling in Cloud Computing
Author :
Li Liu;Yingqi Zhai
Author_Institution :
Sch. of Autom. &
fYear :
2015
Firstpage :
1710
Lastpage :
1715
Abstract :
A large-scale data processing is increasingly leveraging Map Reduce frameworks on Cloud computing platform. We aimed to study various job schedulers improved in Map Reduce, and identify research directions in this area. In this paper, the related techniques of Map Reduce and Hodoop are described briefly. Then a variety of Map Reduce schedulers are reviewed and classified, also the features of these schedulers are expressed.
Keywords :
"Cloud computing","Real-time systems","Job shop scheduling","Processor scheduling","Computational modeling","Data processing","File systems"
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
Type :
conf
DOI :
10.1109/IMCCC.2015.363
Filename :
7406144
Link To Document :
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