Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156558
Title: Evaluating virtual machine allocations in clouds
Authors: Goh, Clive Cheng Guan
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Goh, C. C. G. (2022). Evaluating virtual machine allocations in clouds. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156558
Project: SCSE21-0177
Abstract: Cloud Services provides virtual machines (VM) to millions of users with thousands of different configurations. To do this effectively requires the use of bin packing algorithm. This project aims to analyse and optimise pre-existing bin packing algorithms and find out which algorithm would be the best for allocating virtual machines. The tested algorithm was First Fit, Next Fit, Best Fit, and Worst Fit. Code is written in Python and tested on Azure public dataset for bin packing. The data output of the written code was analysed via chart visualisation. This project aims to better understand the implementation of bin packing algorithm on virtual machine allocation.
URI: https://hdl.handle.net/10356/156558
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Goh_Cheng_Guan_Clive_FYP_Final_Report(Amended).pdf
  Restricted Access
2.23 MBAdobe PDFView/Open

Page view(s)

25
Updated on May 27, 2022

Download(s)

3
Updated on May 27, 2022

Google ScholarTM

Check

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