An optimized strategy for speculative execution in a heterogeneous environment

Liu, Q, Cai, W, Fu, Z, Shen, J and Linge, N ORCID: https://orcid.org/0000-0002-4318-8782 2015, 'An optimized strategy for speculative execution in a heterogeneous environment' , in: 2015 9th International Conference on Future Generation Communication and Networking (FGCN) , IEEE, pp. 9-12.

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Abstract

MapReduce is a popular programming model for the purposes of processing large data sets. Speculative execution known as an approach for dealing with the above problems works by backing up those tasks running on a low performance machine to a higher one. In this paper, we have modified some pitfalls and taken computer hardware into consideration (HWC-Speculation). We also have implemented it in Hadoop-2.6 and experiment results show that our method can assign tasks evenly, improve the performance of MRV2 and decrease the execution time.

Item Type:	Book Section
Schools:	Schools > School of Computing, Science and Engineering
Publisher:	IEEE
ISBN:	9781467398343
Depositing User:	USIR Admin
Date Deposited:	15 Dec 2016 12:53
Last Modified:	17 Aug 2020 13:40
URI:	http://usir.salford.ac.uk/id/eprint/41027

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