NDLI: A case study of MapReduce speculation for failure recovery

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Content Provider	ACM Digital Library
Author	Yu, Weikuan Zhu, Yue Fu, Huansong
Abstract	MapReduce has become indispensable for big data analytics. As a representative implementation of MapReduce, Hadoop/YARN strives to provide outstanding performance in terms of job turnaround time, fault tolerance etc. It is equipped with a speculation mechanism to cope with run-time exceptions and failures. However, we reveal that the existing speculation mechanism has some major drawbacks that hinder its efficiency during failure recovery, which we refer to as the speculation breakdown. In order to address the speculation breakdown, we introduce a failure-aware speculation scheme and a refined scheduling policy. Moreover, we have conducted a comprehensive set of experiments to evaluate the performance of both single component and the whole framework. Our experimental results show that our new framework achieves dramatic performance improvement in handling with task and node failures compared with the original YARN.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450339933
DOI	10.1145/2831244.2831245
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-15
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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A case study of MapReduce speculation for failure recovery