Early straggler tasks detection by recurrent neural network in a heterogeneous environment-Reference-Cited by-同舟云学术

Early straggler tasks detection by recurrent neural network in a heterogeneous environment

Published:2022-07-22 Issue:7 Volume:53 Page:7369-7389
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Bawankule Kamalakant Laxman^ORCID,Dewang Rupesh Kumar^ORCID,Singh Anil Kumar^ORCID

Funder

All India Council for Technical Education

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03837-1.pdf

Reference47 articles.

1. Ahmad F, Chakradhar ST, Raghunathan A, Vijaykumar T (2012) Tarazu: optimizing mapreduce on heterogeneous clusters. In: ACM SIGARCH Computer architecture news. ACM, vol 40, pp 61–74

2. Ananthanarayanan G, Kandula S, Greenberg AG, Stoica I, Lu Y, Saha B, Harris E (2010) Reining in the outliers in map-reduce clusters using mantri. In: Osdi, vol 10, p 24

3. Arasanal RM, Rumani DU (2013) Improving mapreduce performance through complexity and performance based data placement in heterogeneous hadoop clusters. In: International conference on distributed computing and internet technology. Springer, pp 115–125

4. Bawankule KL, Dewang RK, Singh AK (2021) Load balancing approach for a mapreduce job running on a heterogeneous hadoop cluster. In: International conference on distributed computing and internet technology. Springer, pp 289–298

5. Bawankule KL, Dewang RK, Singh AK (2021) Historical data based approach for straggler avoidance in a heterogeneous hadoop cluster J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-020-02699-0

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