Please use this identifier to cite or link to this item:
Title: Investigation on energy consumption problem in data centre systems
Authors: Xiong, Xiao.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Abstract: Data centres which are powered by green energy, such as wind and solar would benefit the environment significantly. More and more IT companies have started to incorporate green energy to power their data centres. For example, Google are currently using renewable energy to power over 30% of their operations and they are looking to replace all the brown energy with green energy in the future. Scheduling the workloads across the distributed data centres by considering the presence of the green energy can reduce the brown power consumption in the data centres significantly. In this project, we simulate distributed data centre environment where job arrivals follow the Poisson process and job service times follow an exponential distribution. Our scheduling algorithm is green-aware and leverages on the task migration across data centres in different locations. Our simulations demonstrated that our scheduling algorithm have saved up to 30% brown energy compared with the conventional round robin algorithm which is one of the most widely used scheduling algorithm.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
Data Centre Job Scheduling 1.91 MBAdobe PDFView/Open

Page view(s)

Updated on Apr 20, 2024

Download(s) 50

Updated on Apr 20, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.