Private cloud is a type of cloud computing that delivers similar advantages to public cloud, including scalability and self-service, but through a proprietary architecture. It promises significant cost savings by making it possible to consolidate workloads and share infrastructure resources among multiple applications resulting in higher cost and energy-efficiency. However, these benefits come at the cost of increased system complexity and dynamicity posing new challenges in providing service dependability and resilience for applications running in a private Cloud environment. This paper discusses about implementing a private cloud using open source software and operating system. This private cloud is capable of providing the infrastructure and platform as a service. Infrastructure includes the storage, servers, virtualization, compute and network services and platform as a service includes the operating system, middleware and runtime environment.

1. DEPENDABILITY ASSESSMENTS
OF RELIABLE SERVICES IN A
PRIVATE CLOUD ENVIRONMENT
VIVA DATE: 29-06-2016
PRAKASH.U
211614405010
M.E., CSE
SUPERVISOR: MR.S.UDHAYAKUMAR
(ASSOCIATE PROFESSOR)

2. AGENDA
• INTRODUCTION
• MOTIVATION
• ABSTRACT
• LITERATURE SURVEY
• SYSTEM ARCHITECTURE
• ARCHITECTURE EXPLANATION
• IMPLEMENTATION STACK
• CONCLUSION AND FUTURE ENHANCEMENT
• REFERENCES
• LIST OF PUBLICATIONS

3. INTRODUCTION
• The project is push the limits of the cloud which is built for a
private environment, by instantiating multiple instances and
performing resource migration The reliability-related
challenges that we face today are not dramatically different
from those that we’ve faced in years past, such as unexpected
hardware failures, power outages, software bugs, failed
deployments, people making mistakes, and so on.

4. MOTIVATION
• The goal is to prove that Openstack services are reliable, the
project implements a recommendation system on top of a
private cloud platform.
• Hence a confluence of cloud and big data makes the project
more complex and challenging for implementation in a real
world setup instead of simulation.

5. ABSTRACT
Openstack ensure that the service deployed is highly stable
and provides resource migration without any service
disruption.
In order to prove the dependability of the service, our project
makes use of Hadoop for distributed processing, movie data
set is evaluated and analyzed for prediction.
Hence recommendation and prediction system is built over
Hadoop using Apache Mahout.
This stack of software implementation running on top of a
private cloud is built on a stable Linux environment like
Ubuntu or Cent OS.

6. LITERATURE SURVEY
S.NO TOPIC AUTHOR AND YEAR DESCRIPTION
1. Adaptive Trust Model
for Software Services
in Hybrid Cloud
Environment
S.Udhayakumar,
S.Chandrasekaran,
Latha Tamilselvan,
Fareez Ahmed
(2014)
The reputations of the constituent
domain specific services are
evaluated to determine the
overall trust of the demanded
service assuming other
infrastructure and platform
services.
2. A Trust Model for a
Group of E-mail
Servers
Leonardo B.de Oliveira
and Carlos A. Maziero
(2008)
This work presents a distributed
trust model, allowing to create
dynamic and decentralized
trusted server lists, through the
exclusion of servers recognized
as spreaders of malicious
messages.

7. S.NO TOPIC AUTHOR AND
YEAR
DESCRIPTION
3. A Classification
Scheme for Trust
Functions in
Reputation-Based
Trust Management
by Qing Zhang ,
Ting Yu , Keith
Irwin
(2004)
We propose a classification
scheme for trust functions, which
will help the systematic
analysis and selection of trust
functions for particular
applications.
4. Scheduler
Vulnerabilities and
Attacks in Cloud
Computing
Fangfei Zhou,
Manish Goel,
Peter Desnoyers,
Ravi Sundaram
(2011)
We present experimental results
demonstrating the effectiveness
of these defenses while imposing
negligible
overhead.
5. Remote Attestation
Service
Trustworthy Clouds,
Dr. Klaus-Michael
Koch
(2013)
The Remote Attestation Service
is a cloud subsystem responsible
to assess the integrity of nodes in
the cloud infrastructure through
techniques introduced by the
Trusted Computing technology.

8. S.NO TOPIC AUTHOR AND
YEAR
DESCRIPTION
6. A Trust-aware
Framework for
Evaluating Security
Controls of Service
Providers in Cloud
Marketplaces
Habib, S.M.
Telecooperation
Lab
(2013)
This paper proposes a trust-aware
framework to verify and evaluate
these security controls considering
consumers’ requirements.
7. Building Private
Cloud using
OpenStack
Girish L ,
Dr. H S
Guruprasad
(2010)
This paper discusses about
implementing a private cloud using
open source software and
operating system. This private
cloud is capable of providing the
infrastructure and platform as a
service.

9. S.NO TOPIC AUTHOR AND
YEAR
DESCRIPTION
8. Emerging Security
Issues and
Challenges in Cloud
Computing
S C Rachana,
Dr. H S Guruprasad
(2014)
The information about the
threats such as- Multitenancy,
Availability, Loss of control,
Loss of Data, outside attacks,
DOS attacks, malicious insiders,
etc. The solutions to overcome
some of these threats have also
been highlighted in this paper.
9. Integrity Attestation
for Software-as-a
Service Clouds
Chashu Mol R,
Alfia A P
(2013)
An effective service integrity
attestation framework for SaaS
clouds. IntTest provides an
integrated graph attestation
analysis method that can
pinpoint malicious service
providers than existing methods.

10. S.NO TOPIC AUTHOR AND
YEAR
DESCRIPTION
10. Scalable Analysis
and Improved
Search in
Software as a
Service in Cloud
Dr. K. Swathi1
Professor and Head
(2014)
we represent IntTest, verification
method that can enthusiastically
verify the integrity of data
processing results in the cloud
infrastructure and pinpoint
malicious service providers when
inconsistent results are noticed.
11. Scalable
Distributed
Service Integrity
Attestation for
Software-as-a-
Service Clouds
Juan Du, Member,
IEEE,
Daniel J. Dean,
Student Member,
IEEE,
Yongmin Tan,
Member, IEEE,
Xiaohui Gu, Senior
Member, IEEE,
we present IntTest, a scalable and
effective service integrity
attestation framework for SaaS
clouds. IntTest provides a novel
integrated attestation graph
analysis scheme that can provide
stronger attacker pinpointing power
than previous schemes

11. HADOOP
MAHOUT
RECOMMENDATION
SSH
JAVA
PYTHON RESULT
OPENSTACK PACKSTACK
OUTPUT.txt
MOVIELENS
DATASET
U.ITEMU.USERU.DATA
SYSTEM ARCHITECTURE

12. ARCHITECTURE EXPLANATION
• The OpenStack project is an open source cloud computing
platform that supports all types of cloud environments.
• The project aims for simple implementation, massive
scalability, and a rich set of features.
• OpenStack provides an Infrastructure-as-a-Service (IaaS)
solution through a variety of complemental services.
• Each service offers an application programming interface
(API) that facilitates this integration.

13. CONTD..
The following steps toward deployment using a Openstack
architecture:
• Determine and implement the necessary core and optional
services to meet performance and redundancy
requirements.
• Increase security using methods such as firewalls,
encryption, and service policies.
• Implement a deployment tool such as Ansible, Chef,
Puppet, or Salt to automate deployment and management
of the production environment.

14. CONTD..
To run the Mahout recommendation engine on a dataset of
movie ratings and show the movie recommendations for each
user.
Following Requirements of Mahout Recommendation engine
on a Hadoop cluster:
Running Hadoop
To install and configure Hadoop
To install Mahout
Getting the movie dataset
Running the Mahout recommender

15. HARDWARE REQUIREMENTS
Machine with at least 8GB RAM, preferably 16GB RAM
Minimum 100GB of Disk Memory.
Processors with hardware virtualization extensions.
and at least one network adapter.

16. SOFTWARE REQUIREMENTS
CentOS 7 64-bit Host OS
Ubuntu Instance Image
CirrOS Instance Image
Openstack
Hadoop - hadoop-1.1.1
Java - jdk-8u77-linux-x64
Mahout - mahout-distribution-0.7
Movie Lens Dataset - ml-100k
Python (use to show the recommendations result)

17. IMPLEMENTATION STACK

18. INSTALLING OPENSTACK ON
CENTOS

19. OPENSTACK DASHBOARD

20. CREATE PRIVATE AND PUBLIC
NETWORK

21. LAUNCH INSTANCES

22. INSTANCES LIST

23. NETWORK TOPOLOGY WITH
INSTANCES

24. LAUNCH AN UBUNTU INSTANCE

25. STARTED AND RUNNING HADOOP

26. RUNNING MAHOUT RECOMMENDER

27. HADOOP MAPREDUCE JOBS

28. PYTHON PROGRAM TO SHOW
OUTPUT

29. RATED MOVIES AND
RECOMMENDED MOVIES RESULT

30. RATED MOVIES TABLE
Rated Movies Ratings
Mimic (1997) 3
Ulee's Gold (1997) 5
Incognito (1997) 5
One Flew Over the Cuckoo's Nest (1975), 4
Event Horizon (1997) 4
Client, The (1994) 3
Liar Liar (1997) 5
Scream (1996) 4
Star Wars (1977) 5
Wedding Singer, The (1998) 5
Starship Troopers (1997) 4
Air Force One (1997) 5
Conspiracy Theory (1997) 3
Contact (1997) 5
Indiana Jones and the Last Crusade (1989) 3
Desperate Measures (1998) 5
Seven (Se7en) (1995) 4
Cop Land (1997) 5
Lost Highway (1997) 5
Assignment, The (1997) 5
Blues Brothers 2000 (1998) 5
Spawn (1997) 2
Wonderland (1997) 5
In & Out (1997) 5

31. RATED MOVIES GRAPH

32. RECOMMENDED MOVIES TABLE
Recommended Movies Ratings
Saint, The (1997)
5
Indian summer (1996)
5
Broken Arrow (1996)
5
Speed (1994)
5
Anastasia (1997)
5
People vs. Larry Flynt, The (1996)
5
Casablanca (1942)
5
Trainspotting (1996)
5
Courage Under Fire (1996)
5
Money Talks (1997)
5

33. RECOMMENDED MOVIES GRAPH

34. CONCLUSION AND FUTURE
ENHANCEMENT
• The implementation conducted here concludes that, we
propose an efficient and stable means of cloud deployment
through a private cloud installation using OpenStack.
• In the future, Openstack Multi-node implementation of a
private and public cloud is built on a both Linux and Windows
Instances.

35. REFERENCES
[1] S.Udhayakumar, S.Chandrasekaran, Latha Tamilselvan, Fareez Ahmed, "An
Adaptive Trust Model for Software Services in Hybrid Cloud Environment," Recent
Researches in Computer Science, 2014.
[2] Girish L S, Dr. H S Guruprasad, "Building Private Cloud using Openstack,"
International Journal of Emerging Trends & Technology in Computer Science
(IJETTCS), Volume 3, Issue 3, May – June 2014.
[3] S C Rachana, Dr. H S Guruprasad, "Emerging Security Issues and Challenges in
Cloud Computing," International Journal of Engineering Science and Innovative
Technology (IJESIT), Volume 3, Issue 2, March 2014.
[4] Dr. K. Swathi, G. Anushiya, R. Vijayanathan, "Scalable Analysis and Improved
Search in Software as a Service in Cloud," International Journal of Advance Research
in Computer Science and Management Studies, Volume 2, Issue 12, December 2014.
[5] Juan Du, Daniel J. Dean, Yongmin Tan, Xiaohui Gu and Ting Yu, "Scalable
Distributed Service Integrity Attestation for Software-as-a-Service Clouds," IEEE
Transactions On Parallel and Distributed Systems, VOL. 25, NO. 3, MARCH 2014.

36. CONTD..
[6] Chashu Mol R, Alfia A P, "Integrity Attestation for Software-as-a Service Clouds,"
International Journal of Science and Research (IJSR), Index Copernicus Value (2013):
6.14 | Impact Factor (2013): 4.438.
[7] Dr. Klaus-Michael Koch, Dr. Christian Cachin, "Remote Attestation Service,"
TClouds — Trustworthy Clouds, www.tclouds-project.eu., 2013.
[8] Sheikh Mahbub Habib, Vijay Varadharajan, Max Muhlhauser, "A Trust-aware
Framework for Evaluating Security Controls of Service Providers in Cloud
Marketplaces," Telecooperation Lab., 2013.
[9] Fangfei Zhou, Manish Goel, Peter Desnoyers, Ravi Sundaram, "Scheduler
Vulnerabilities and Attacks in Cloud Computing," arXiv:1103.0759v1 [cs.DC] 3 Mar
2011.
[10] Leonardo B. de, Oliveira and Carlos A. Maziero, "A Trust Model for a Group of
E-mail Servers," CLEI Electronic Journal, Volume 11, Number 2, Paper 1, Dec 2008.
[11] Qing Zhang, Ting Yu and Keith Irwin, "A Classification Scheme for Trust
Functions in Reputation-Based Trust Management," 2004.

37. LIST OF PUBLICATION
• Prakash.U, “Dependability Assessments of Reliable
Services in a Private Cloud Environment, Dec - 2015”
Proceedings of the International Conference on Mathematical
Computer Engineering ( ICMCE – 2015 ).

38. THANK YOU !