Energy- and locality-efficient multi-job scheduling based on MapReduce for heterogeneous datacenter-Reference-Cited by-同舟云学术

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Energy- and locality-efficient multi-job scheduling based on MapReduce for heterogeneous datacenter

Published:2019-08-22 Issue:4 Volume:13 Page:297-308
ISSN:1863-2386
Container-title:Service Oriented Computing and Applications
language:en
Short-container-title:SOCA

Author:

Chen Lei^ORCID,Liu Zhao-Hua

Funder

Science Research Project of Education Department of Hunan Province

PhD research startup foundation of Hunan University of Science and Technology

Open Project of State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body

Hunan Provincial Natural Science Foundation of China

Hunan Provincial Young Talents Project

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Management Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s11761-019-00273-x.pdf

Reference24 articles.

1. Hashem IAT, Anuar NB, Marjani M et al (2018) MapReduce scheduling algorithms: a review. J Supercomput 2018(1):1–31

2. Dean J, Ghemawat S (2008) Mapreduce: simplified data processing on large clusters. Commun ACM 51(1):107–113

3. Dahiphale D, Karve R, Vasilakos AV et al (2014) An advanced mapreduce: cloud mapreduce, enhancements and applications. IEEE Trans Netw Serv Manag 11(1):101–115

4. Mashayekhy L, Nejad MM, Grosu D et al (2015) Energy-aware scheduling of mapreduce jobs for big data applications. IEEE Trans Parallel Distrib Syst 26(10):2720–2733

5. Bampis E, Chau V, Letsios D, Lucarelli G, Milis I, Zois G (2014) Energy efficient scheduling of mapreduce jobs. In: Euro-Par 2014 parallel processing. Springer

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1. Virtual Machine Placement Optimization for Big Data Applications in Cloud Computing;IEEE Access;2022

2. HTD: heterogeneous throughput-driven task scheduling algorithm in MapReduce;Distributed and Parallel Databases;2021-10-28

3. Performance Analysis of Hadoop YARN Job Schedulers in a Multi-Tenant Environment on HiBench Benchmark Suite;International Journal of Distributed Systems and Technologies;2021-07

4. Energy-Efficient Scheduling of MapReduce Tasks Based on Load Balancing and Deadline Constraint in Heterogeneous Hadoop YARN Cluster;2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2021-05-05

5. Handling Non-Local Executions to Improve MapReduce Performance Using Ant Colony Optimization;IEEE Access;2021

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