Evaluating virtual machine allocations in clouds
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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156558 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Summary: | 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. |
---|