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Scheduling for Energy Efficiency with Hadoop

by Sebagenzi Jason
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 23
Year of Publication: 2024
Authors: Sebagenzi Jason
10.5120/ijca2024923678

Sebagenzi Jason . Scheduling for Energy Efficiency with Hadoop. International Journal of Computer Applications. 186, 23 ( May 2024), 22-34. DOI=10.5120/ijca2024923678

@article{ 10.5120/ijca2024923678,
author = { Sebagenzi Jason },
title = { Scheduling for Energy Efficiency with Hadoop },
journal = { International Journal of Computer Applications },
issue_date = { May 2024 },
volume = { 186 },
number = { 23 },
month = { May },
year = { 2024 },
issn = { 0975-8887 },
pages = { 22-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number23/scheduling-for-energy-efficiency-with-hadoop/ },
doi = { 10.5120/ijca2024923678 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-05-31T22:32:03.058249+05:30
%A Sebagenzi Jason
%T Scheduling for Energy Efficiency with Hadoop
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 23
%P 22-34
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main topic of this chapter is Hadoop energy efficiency scheduling, which includes an overview of the system, scheduling techniques, and the creation and application of a Hadoop energy control system. Additionally, testing, analysis, and introduction are provided for energy-efficient scheduling for multiple users.

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Index Terms

Computer Science
Information Sciences

Keywords

Hadoop; Map Reduce; Map Reduce Slots; scheduling algorithm; energy-efficient scheduling; dynamic management

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