This document discusses a final year project proposal to automate failover of the compute service (Nova) in OpenStack. The objectives are to design a more automated and friendly environment for Nova failover. The methodology involves installing and configuring OpenStack, modifying Nova configuration files to implement the intended coding, and testing failover by corrupting virtual machines. The expected result is an automated Nova failover that provides reliable computing services and maximizes resource utilization.

1. 1
CSF 35104 FINAL YEAR PROJECT 1
WAN NURSHUHADA BT WAN MOHD ASRI (044408)
BACHELOR OF SCIENCE COMPUTER (COMPUTER
NETWORK SECURITY) WITH HONORS
SUPERVISOR: PM DR ZARINA BINTI MOHAMAD

2. MANAGING
AUTOMATION
FAILOVER IN
OPENSTACK

3. 3
❖ Objectives
❖ Problem Statement
❖ Project Methodology
❖ Project Framework
❖ Data Model
❖ Proof of Concept
❖ Expected Result
❖ References
PRESENTATION CONTENT

4. 4
OBJECTIVES
➢ To propose the
automation
failover of the
compute (nova)
in Openstack.
➢ To design the
friendlier
environment for
automation
compute (nova).
➢ To implement
the effectiveness
automation
failover of the
compute (nova)
in Openstack.

5. PROBLEM STATEMENTS
× Management of openstack is very important to make sure its
achieve its flexibility and scalability. The existing work
performed in Openstack have mainly focused on the
discussion of the architecture, feature set and performance
analysis [6]. Based on documentation that provided by Redhat,
the nova community had developed the automated evacuation
through instance high availability (HA) However some of the
environment requirement need to be manually enabled.
5

6. 6
• Design
procedures
• Determine the
required data
• Resolve
problems and
implement
solutions
PROJECT METHODOLOGY

7. PROJECT FRAMEWORK
2) Configuring nova to
manage resources
1) Installing and configuring
openstack
3) Corrupt virtual
machines
4) Automating the
failover session
5) Operating standby
virtual machines

8. 8
Nova
Compute
Nova-Api
Nova-
Network
Nova-
Scheduler
Nova-
Volume
AMPQ
Horizon
Main module in
nova that is
responsible for
instantiating
virtual machine
and run, create,
end and reboot.

9. DATA MODEL
9
Admin/User
input
Scheduler
Filter Host
Calculate weight
values
Pass
Require
ment
Add requirements
Admin/User
Output
NO
YES
Nova-Api
Nova-Scheduler and nova-
network
Nova-Api send back
the admin/user
response

10. PROOF OF CONCEPT
10
Cd etc commands would bring
the super user to the folder in
the root to check on the
installed packstack
The installed packstack

11. 11
Openstack have been
installed and configured.
Enter the cd pathname
command to navigate to the
openstack configuration files
and directories.

12. 12
Enter vi command to edit the
nova program files.

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This is where all the coded
program is. All we need to do
is modify it by deleting all lines
of codes and replace it with
the intended coding.

14. Expected Result
Able to provide service to each user
within the deadline and maximize
New features are being added for
automating failover instances
In computing (nova).
the utilization of resources.

15. 15
REFERENCES
1) Professor Rajkumar Buyya, Professor Yong Cui , Dr.
Dejan Milojicic, & Professor Vojislav B. Misic. (2012,
Nov). Call for Papers for IEEE Transactions on Parallel
and Distributed Systems Special Issue on Cloud
Computing. p. 2
2) Aditya Makwe, & Priyesh Kanungo. (2015). Scheduling
in Cloud Computing Environment Using Analytic
Hierarchy Process Model . IEEE International
Conference on Computer, Communication and Control
(IC4-2015). , (p. 4). India .
3) IEEE Association. (2018, April). IEEE Standards
Activities in Cloud/Edge/Fog Computing . p. 3.
4) Ahmad Faizal Abdul Latif. (2018). Introduction To
Openstack Architecture.

16. 16
REFERENCES
5) Maicon Anc¸a dos Santos , Andr´e R. Du Bois , &
Gerson Geraldo H. Cavalheiro .(A User-level
Scheduling Framework for BoT Applications on Private
Clouds. 2017 29th International Symposium on
Computer Architecture and High Performance
Computing (p. 8).
6) Modelling and Analysis of the State of the Art VM-
based Cloud Management Platform. (2013). IEEE
Transactions on Cloud Computing, 14.
7) George Coulouris, Jean Dollimore, Tim Kindberg, &
Gordon Blair. (2012). Distributed Systems: Concepts
and Design (5th Edition).
8) Guangming Yang, & Wenjuan Zhang. (2015).
Research Of Resource Allocation Based On
Openstack. China: CGTEG XI AN Research Institute

17. 17
REFERENCES
9) N. L., M. V., Ivano Alessandro Elia, & Nuno Antunes.
(2017). An Analysis of OpenStack Vulnerabilities. 2017
13th European Dependable Computing Conference, (p.
6).
10) Openstack Compute (Nova). (2018, 10 04). Retrieved
from Openstack: https://docs.openstack.org/nova/pike/
11) Openstack Team. (2018, 10 01). Red Hat Openstack
Platform 10. Retrieved from Redhat:
https://access.redhat.com/documentation/en-
us/red_hat_openstack_platform/10/pdf/high_availability
_for_compute_instances/Red_Hat_OpenStack_Platfor
m-10-High_Availability_for_Compute_Instances-en-
US.pdf

18. Thank You
for your kind attention.
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