Cloud Migration Project Proposal: Design and Implementation

This project proposal outlines a cloud migration project, detailing the rationale, research questions, and methodology for moving data and applications to the cloud. It addresses the problem domain of the digital revolution and the need for businesses to gain a competitive advantage through cloud adoption. The proposal includes a conceptual framework, research methods (secondary and primary), data collection techniques, and ethical considerations. It also presents a project plan with deliverables, a work breakdown structure, risk analysis, and a Gantt chart. The research aims to identify the benefits, issues, and recommendations for secure cloud migration, emphasizing faster deployment, enhanced security, and flexibility in business management. The project incorporates both qualitative and quantitative data analysis to assess the effectiveness and challenges of cloud migration strategies. The project also emphasizes ethical considerations, including data privacy and participant consent. This comprehensive proposal provides a structured approach to implementing a cloud migration project, ensuring effective data management and business process optimization.

Running head: EMERGING TECHNOLOGIES AND INNOVATION
Emerging Technologies and Innovation
Name of the Student
Name of the University
Author Note

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Table of Contents
1. Project Background.........................................................................................................3
2. Rationale of the Study.....................................................................................................3
2.1. Problem Domain.......................................................................................................3
2.2. Purpose and Justification..........................................................................................4
3. Sponsor or Supervisor Recommendation........................................................................4
4. Research Questions..........................................................................................................5
5. Conceptual Framework....................................................................................................5
6. Methodology....................................................................................................................6
6.1. Research and System Development Methods...........................................................6
6.2. Data Collection Methods..........................................................................................7
6.3. Ethical Issues............................................................................................................7
6.4. Compliance Requirements........................................................................................8
6.5. Data Analysis............................................................................................................8
7. Project Plan......................................................................................................................8
7.1. Project Deliverables..................................................................................................9
7.2. Work breakdown structure.......................................................................................9
7.3. Risk Analysis..........................................................................................................10
7.4. Duration..................................................................................................................11
7.5. Gantt Chart..............................................................................................................12

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References..........................................................................................................................14

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Title: Cloud Migration in Cloud Computing
1. Project Background
Cloud Migration is a process of movement of data and application from the onset
computers of an organization to cloud. Migration in cloud often involves the movement of data
along with other business elements between the different cloud environments (Pahl, Xiong &
Walshe, 2013). There are a number of benefits of making use of cloud computing in business.
Therefore, the migration to the cloud environment is often considered to be a necessary need for
the organizations. The project proposal will discuss the implementation of cloud migration
project. Prior to the implementation of the project an extensive research study will be performed
that will ensure successful implementation of the project.
2. Rationale of the study
2.1. Problem Domain
The constant evolution of technology has given rise to digital revolution. In order to gain
a competitive advantage in this highly competitive environment, it is essential to migrate to
cloud environment. In traditional methods, the back up and disaster recovery of the data is quite
complex which can be eliminated with the help of cloud computing. Cloud computing further
ensures built in status monitoring system that helps in easier business management. Therefore it
can be observed that without the adoption of cloud computing, management of complex business
processes can be a major problem in this world of technology.
2.2. Purpose and Justification

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The purpose of this project plan is to propose a migration project to cloud. The project
aims in designing and implementation of a project that is associated with the migration of a
business in cloud platform (Andrikopoulos, Strauch & Leymann, 2013). There are a number of
advantages of making use of cloud computing in business processes and therefore the migration
in cloud project is proposed. Migration to cloud is easy as it has faster deployment times. Apart
from that, it supports enhanced security features that ensure secure data storage and data access.
Migration to cloud will provide flexibility in management of different business processes.
Presence of an appropriate disaster recovery technique helps in secure data storage and therefore
the proposed project is justified. With the migration of the infrastructure and the different
business processes to cloud, it is possible to manage the business in a more effective manner and
therefore this project is justified.
3. Sponsor or Supervisor Recommendation
It is recommended to provide a planned approach of project implementation for
successful migration in cloud environment. Cloud migration can be described as a process of
moving data, applications and other business elements from the onsite computer of an
organization to cloud environment. Before migration, it is recommended for an organization to
perform a SWOT analysis of the migration project as it will unveil the strength, weakness,
opportunities and threats of the project (Smith, 2015). Apart from that it is necessary to select a
right cloud partner and an appropriate cloud environment as well. The migration plan is to be
developed in advance according to the requirement which will be followed throughout the
implementation of the project.

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In order to understand the issues and risks associated with the migration of the project to
cloud, it is essential to perform a secondary research to understand the issues and the benefits
associated with process of migration to cloud environment (Jamshidi, Ahmad & Pahl, 2013). The
extensive literature search will help in unveiling the issues faced by the organization in
implementation of the project. The research has
4. Research Questions
The questions the research will address are represented below-
1. What is the need for migration in cloud?
2. What are the benefits of cloud migration?
3. What are the issues associated with Cloud Migration?
4. What are the recommendations for ensuring secure Cloud Migration?
5. Conceptual Framework
The conceptual framework for the cloud migration project is represented in the following
picture-

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Figure 1: Representing the Conceptual framework of the research
(Source: Created by author using MS Visio)
6. Methodology
This section of the project proposal will provide an idea of the different process and
techniques that will be followed for successful completion of research project. Research
methodology provides the details of processes, tools and techniques associated with information
gathering and successful implementation of the project (Bryman & Bell, 2015). The research and
the system development methods, data collection methods, ethical issues and the compliance
requirements along with data analysis process are discussed in the following sections.
6.1. Research and System Development Methods

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Both secondary research and primary research method will be followed for the migration
in cloud project. The secondary research method is a common research method involving the use
of information that has been already gathered. There are a number of advantages of making use
of secondary research methodology. First of all, the information that is fetched is readily
available and is of low cost. The secondary research methods help in guiding the focus of the
primary research which might be conducted in the project if required (Ahmad et al., 2015).
However, there are certain limitations of making use of secondary research method as well. One
of the major disadvantages of secondary research is that it lacks the specificity that can be
achieved through primary research. The primary research method will help in eliminating this
limitation. A mixed method of research is proposed for this project since the project aims at
migration of a business to cloud. The benefits, issues and the risks associated with the same can
be easily identified through primary and secondary research.
6.2. Data Collection Methods
Since both secondary research and primary will mainly be performed in this project, the
data will be collected from extensive literature search, annual report of the companies and
previously published research journals and will also be collected from an online survey
(Brannen, 2017). A sample size of 25 is chosen for the research. The collected data will undergo
both qualitative and quantitative analysis in order to analyze the benefits and issues associated
with migration in cloud platform.
6.3. Ethical Issues
There are a number of ethical issues that are associated with collection of data which
should be considered in this research project. Maintaining the privacy of the information

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collected is necessary and it emerges to be a significant ethical issue. Obtaining the permission of
the participants is necessary as well or else it would give rise to ethical issue (Walliman, 2017).
Therefore, obtaining the permission of the individuals for participating in the survey is
necessary. If transparency cannot be maintained with the collected data, major ethical issue
might arise with data collection.
6.4. Compliance Requirements
The compliance requirements in this research study are as follows-
1. Respect and safety of research participants is one major compliance requirement of the
research study.
2. Apart from safety, maintaining the privacy and the transparency of the information
shared by the research participants is necessary as well.
6.5. Data Analysis
The data that will be collected by the primary and secondary research methods will
undergo both qualitative and quantitative analysis (Silverman, 2016). The secondary data
collected will undergo a qualitative while the data collected from survey will undergo a
quantitative research methodology.
7. Project Plan
This section of the research proposal will provide an idea of the proposed Migration in
Cloud project. The deliverables, work breakdown structure and the risks associated with the
research are discussed in the following section.

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7.1. Project Deliverables
The deliverables of the project along with the research needs are represented in the
following table-
WBS Task Name
0 Cloud Migration
1 Research proposal
1.1 Selection of the topic of the Research
1.2 Background Research
1.3 Reviewing the existing Literature
1.4 Designing the Conceptual Framework
1.5 Scheduling the research
1.6 Submission of Research Proposal
1.7 Proposal Approval
2 Data Collection
2.1 Collection of Primary Data
2.2 Collection of Secondary Data
2.3 Data Analysis
2.4 Documenting the analysis
3 Project Implementation
3.1 Requirement Analysis
3.2 Analyzing the need for moving to cloud environment
3.3 Choosing an appropriate cloud approach
3.4 Sorting the data on the onsite computers that will be migrated
3.5 Moving the data from onsite computers to cloud
4 Training
4.1 Designing appropriate training modules
4.2 Training the users
5 Closing
5.1 Documenting the Research Report
5.2 Project Completion
7.2. Work breakdown structure
The work break down structure of the project is represented in the following picture-

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Cloud Migration
Research proposal
Selection of the topic of
the Research
Background Research
Reviewing the exisiting
Literature
Designing the Conceptual
Framework
Scheduling the research
Submission of Research
Proposal
Proposal Approval
Data Collection
Collection of Primary Data
Collection of Secondary
Data
Data Analysis
Documenting the analysis
Project Implementation
Requirement Analysis
Analyzing the need for
moving to cloud
enviornment'
Choosing an appropriate
cloud approach
Sorting the data on the
onsite computers that will
be migrated
Moving the data from
onsite computers to cloud
Training
Designing appropriate
training modules
Training the users
Closing
Documenting the
Research Report
Project Completion
Figure 2: Representing the WBS of the Cloud Migration Project
(Source: Created by author using MS Project and MS Schedule Pro)
7.3. Risk Analysis
The associated risks in the project along with their probability of occurrence and severity
in represented in the following table-
Risk Probability Severity Mitigation Approach
Schedule Risk- the
project is to be
completed within in
constricted schedule
High Medium A planned approach of
project implementation
is to be followed.
Technical Risk – Risk in
data transfer to cloud
(Almorsy Grundy &
Müller, 2016)
High High An extensive research
will be performed in
order to understand the
issues associated with
cloud
Resource Risk Medium Medium The resource

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requirement should be
estimated prior to the
project implementation
(Sun & Li, 2013)
Security Risk High High Security mechanism
such as encryption and
authentication will be
followed in order to
mitigate the security
risks (Dutta, Peng &
Choudhary, 2013).
7.4. Duration
The Duration of the Project is represented in the following table-
Task Name Duration Start Finish
Cloud Migration 146 days Tue 03-07-
18
Tue 22-01-
19
Research proposal 37 days Tue 03-07-18 Wed 22-08-18
Selection of the topic of the Research 4 days Tue 03-07-18 Fri 06-07-18
Background Research 7 days Mon 09-07-18 Tue 17-07-18
Reviewing the existing Literature 10 days Wed 18-07-18 Tue 31-07-18
Designing the Conceptual Framework 5 days Wed 01-08-18 Tue 07-08-18
Scheduling the research 5 days Wed 01-08-18 Tue 07-08-18
Submission of Research Proposal 1 day Wed 08-08-18 Wed 08-08-18
Proposal Approval 10 days Thu 09-08-18 Wed 22-08-18
Data Collection 19 days Thu 23-08-18 Tue 18-09-18
Collection of Primary Data 10 days Thu 23-08-18 Wed 05-09-18
Collection of Secondary Data 7 days Thu 23-08-18 Fri 31-08-18
Data Analysis 10 days Mon 03-09-18 Fri 14-09-18
Documenting the analysis 2 days Mon 17-09-18 Tue 18-09-18
Project Implementation 42 days Wed 19-09-18 Thu 15-11-18

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Requirement Analysis 7 days Wed 19-09-18 Thu 27-09-18
Analyzing the need for moving to cloud environment 5 days Fri 28-09-18 Thu 04-10-18
Choosing an appropriate cloud approach 5 days Fri 05-10-18 Thu 11-10-18
Sorting the data on the onsite computers that will be
migrated 10 days Fri 12-10-18 Thu 25-10-18
Moving the data from onsite computers to cloud 15 days Fri 26-10-18 Thu 15-11-18
Training 17 days Fri 16-11-18 Mon 10-12-18
Designing appropriate training modules 7 days Fri 16-11-18 Mon 26-11-18
Training the users 10 days Tue 27-11-18 Mon 10-12-18
Closing 31 days Tue 11-12-18 Tue 22-01-19
Documenting the Research Report 30 days Tue 11-12-18 Mon 21-01-19
Project Completion 1 day Tue 22-01-19 Tue 22-01-19
7.5. Gantt Chart
The Gantt chart of the Proposed Project is represented in the following picture-

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EMERGING TECHNOLOGIES AND INNOVATION
Figure 3: Representing the Gantt chart of the Project
(Source: Created by author using MS Schedule Pro)

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References
Ahmad, R. W., Gani, A., Hamid, S. H. A., Shiraz, M., Xia, F., & Madani, S. A. (2015). Virtual
machine migration in cloud data centers: a review, taxonomy, and open research
issues. The Journal of Supercomputing, 71(7), 2473-2515.
Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing security
problem. arXiv preprint arXiv:1609.01107.
Andrikopoulos, V., Strauch, S., & Leymann, F. (2013). Decision support for application
migration to the cloud. Proceedings of CLOSER, 13, 149-155.
Brannen, J. (2017). Combining qualitative and quantitative approaches: an overview. In Mixing
methods: Qualitative and quantitative research (pp. 3-37). Routledge.
Bryman, A., & Bell, E. (2015). Business research methods. Oxford University Press, USA.
Dutta, A., Peng, G. C. A., & Choudhary, A. (2013). Risks in enterprise cloud computing: the
perspective of IT experts. Journal of Computer Information Systems, 53(4), 39-48.
Jamshidi, P., Ahmad, A., & Pahl, C. (2013). Cloud migration research: a systematic
review. IEEE Transactions on Cloud Computing, (1), 1.
Pahl, C., Xiong, H., & Walshe, R. (2013, September). A comparison of on-premise to cloud
migration approaches. In European Conference on Service-Oriented and Cloud
Computing (pp. 212-226). Springer, Berlin, Heidelberg.
Silverman, D. (Ed.). (2016). Qualitative research. Sage.
Smith, J. A. (Ed.). (2015). Qualitative psychology: A practical guide to research methods. Sage.

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Sun, K., & Li, Y. (2013, March). Effort estimation in cloud migration process. In Service
Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on (pp.
84-91). IEEE.
Walliman, N. (2017). Research methods: The basics. Routledge.