CLOUD COMPUTING BASED JOB SCHEDULING ALGORITHM FOR CONDITION

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PDF CLOUD COMPUTING BASED JOB SCHEDULING ALGORITHM FOR CONDITION FIGURES
Published: Oct 20, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i5.6322
Keywords:
cloud computing, job scheduling, energy consumption, energy saving, data centre

Main Article Content

Divya M
Anna University
Nirmala Devi R
Anna University

Abstract

Cloud computing is a type of internet based computing that provides shared computer processing resources and data to computers and other devices on demand [pay per-use model] which is changing the world around us. The reason to go for cloud computing is that it gives cost effective, flexible, mobility, secure, scalable, etc. However, the growing demand of cloud infrastructure has considerably increased the energy consumption of data centers, that has become a critical issue and thereby it increased the emission of carbon dioxide (co2) which is not environmentally friendly. To overcome this issue the technique called Green cloud computing appears that can not only save energy, but also reduce operational cost consumption is reduced in data centers by scheduling the job using priority algorithm at the rate of Power Usage Effectiveness [PUE] called PP Scheduling Algorithm. Power usage efficiency (PUE) is a metric used to determine the energy efficiency of a data center. Before the job is allocated to the data center, PUE rate for each data center is calculated and the data center with the efficient or average PUE rate is chosen for the job allocation in order to reduce the power consumption.

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Article Details

Issue
Vol. 9 No. 5 (2018): September-October 2018
Section
Articles

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Author Biographies

Divya M, Anna University

Master of Computer Application

Nirmala Devi R, Anna University

Master of Computer Application

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