Energy Aware Job Scheduling and Simulation in a Cloud Datacenter

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Published Nov 26, 2022
https://doi.org/10.47164/ijngc.v13i5.950
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Volume 13, Special Issue 5, November 2022

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Purushottam J Assudani
RTMNU
Mehvash Khan
a:1:{s:5:"en_US";s:5:"RTMNU";}
Mukesh Kumar
RTMNU
Tejas Bhutada

Abstract

Virtualization technology is used by cloud systems for the users to utilize cloud resources through Virtual Machines.
These VM’s process the task requests made by users. Ever since inefficient hardware utilization is the concern
for the future and the environment, efficient work load balancing and allocation of VMs helps to bring down the
hardware usage and results to efficient working. That being said, this paper proposes task scheduling framework
where the task will be assigned to a VMs running on the active hosts(servers) through preemption as required and
classification of the cloudlets. The algorithm that we have taken into consideration will categorize the cloudlets
into three distinct types and allocate them a VM based on first come, first served resource time in regards to that
particular host. This in turn will reduce the energy consumption by having lesser machines running in the active
state meanwhile preserving efficient utilization of the active servers. Such kind of simulations are fairly achieved
using the CloudSim framework

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Assudani, P., Khan, M., Kumar, M. ., & Bhutada, T. . (2022). Energy Aware Job Scheduling and Simulation in a Cloud Datacenter. International Journal of Next-Generation Computing, 13(5). https://doi.org/10.47164/ijngc.v13i5.950
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