DocumentCode :
1796702
Title :
OS-Assisted Task Preemption for Hadoop
Author :
Pastorelli, Michele ; Dell´Amico, Matteo ; Michiardi, Pietro
Author_Institution :
EURECOM, Sophia Antipolis, France
fYear :
2014
fDate :
June 30 2014-July 3 2014
Firstpage :
94
Lastpage :
99
Abstract :
This work introduces a new task preemption primitive for Hadoop, that allows tasks to be suspended and resumed exploiting existing memory management mechanisms readily available in modern operating systems. Our technique fills the gap that exists between the two extreme cases of killing tasks (which waste work) or waiting for their completion (which introduces latency): experimental results indicate superior performance and very small overheads when compared to existing alternatives.
Keywords :
data handling; operating systems (computers); storage management; Hadoop; OS-assisted task preemption; memory management mechanisms; operating systems; Memory management; Processor scheduling; Random access memory; Resumes; Runtime; Suspensions; Hadoop; MapReduce; preemption;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems Workshops (ICDCSW), 2014 IEEE 34th International Conference on
Conference_Location :
Madrid
ISSN :
1545-0678
Print_ISBN :
978-1-4799-4182-7
Type :
conf
DOI :
10.1109/ICDCSW.2014.24
Filename :
6888846
Link To Document :
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