System Analysis: Cloud Vendor Selection for 'My Health Record' System

This report provides a system analysis of cloud-based solutions for Commonwealth's "My Health Record" system, focusing on enhancing data storage and security. It evaluates three cloud vendors: Amazon Web Services (AWS), Microsoft Azure, and SAP, detailing their features, strengths, and weaknesses. The report also discusses the pros and cons of predictive and adaptive Software Development Life Cycle (SDLC) approaches for implementing these cloud platforms, ultimately recommending SAP and the adoptive SDLC approach. The analysis concludes that adopting a cloud-based platform will provide disaster recovery, data backup, and application resilience, leading to improved service delivery and commercial revenue.

Running head: SYSTEM ANALYSIS
System Analysis: Commonwealths “My health Record”
Name of the student:
Name of the university:

1SYSTEM ANALYSIS
Table of Contents
Introduction......................................................................................................................................2
1. Vendor solution...........................................................................................................................2
1.1Amazon Web Server...............................................................................................................2
1.2 Microsoft Azure.....................................................................................................................3
1.3 SAP........................................................................................................................................4
2. Review the cloud based solution.................................................................................................5
3. SDLC approach...........................................................................................................................6
References........................................................................................................................................9

2SYSTEM ANALYSIS
Introduction
Commonwealths “My health Record” keeping system is a digital system that helps to
store health based information of the patients. With the help of this system both the doctors and
the patients will get to know about their current health status. Due to this offered opportunity
currently the number of patients for this system is started growing rapidly.
It is the responsibility of the service providers to deliver efficient and fast service to their
consumers. In order to keep large set of information they require cloud platform. Three different
cloud platforms are nominated and based on their features the most suitable vendors should be
adopted by the organization (Wang et al., 2015). In order to implement such cloud platform the
pros and cons of the predictive and adaptive SDLC are also elaborated in this report.
1. Vendor solution
In order to keep the information secured from the external attackers to store more data
simultaneously it is required for “My health record” to install cloud vendor solution for the
Commonwealths system (Hashem et al., 2015). Different cloud vendor solutions are available in
the market among them the three nominated service providers are Amazon Web Server (AWS),
Microsoft Azure and SAP. The features of three of these service providers are as follows:
1.1Amazon Web Server
IaaS platform: The cloud service provider AWS offers the users a IaaS platform thus the
users will be able to get all benefits of IaaS (Rittinghouse & Ransome, 2016).

3SYSTEM ANALYSIS
AWS offerings: It offers wide range of web services those are developed by Amazon
developers. It gives huge storage capacity and networking subcategories.
Third party market: It gives marketplace to the third party services and software. In
order to integrate all the applications together this platform is designed (Botta et al., 2016). This
offer holds all necessary categories in terms of software infrastructure, developing tools, desktop
application etc.
Security: It offers high level security to the users and due to this none of the credentials
can be accessed easily by the unwanted users.
Mobile friendly access: the service gives mobile friendly access to the users as per the
requirements.
1.2 Microsoft Azure
Fast solution with ExpressRoute: There is a benefit baseline that can be gained from this
cloud service provider. It gives high IT accessibility, improves data recovery and at the same
time lowers down the cost of hardware. Though, the data security and the speeds of the service
differ a lot in case of different services. Not only this but also there is a huge difference between
the azure cloud features and the cloud service offers by premium ExpressRoute.
Easy configuration management: New headaches can be created through the new
technology advances. With the increment in number of machines the access become much easier
and all the complicated technical configuration level issues can be resolves through this (Lian,
Yen & Wang, 2014). Another advantage of this vendor is that it is compatible to open source
tools for configuration management. Configuration of virtual machine through this application is
very much easier.

4SYSTEM ANALYSIS
Better cloud collaboration: It helps to simplify the entire process of development and
implementation (Sultan, 2014). It also helps the users to identify the most frequently used cloud
app discovery tool and also helps to prioritize which tool to be spent in IT.
Secure solution: It gives high security to the users and with system none of the unwanted
user will be able to access data from the server.
Effective connection: It offers tailored level values to those businesses those are based
upon their geographic spread (Zhang et al., 2017). This location spread service is very much
effective from the users end.
1.3 SAP
High flexibility and transparent solution: The SAP cloud vendor offers high level of
flexibility and transparent solution to the users. The user friendly application of this solution
allows the every professional to work for this system (Raghupathi & Raghupathi, 2014). It helps
to automate the system so that users can automatically control the key accounting processes like
the journal entries, receivable accounts details and health condition of the patients.
Controlled system: It helps to manage the overall cash flow. The budget developed for
this project and assets of the project can be easily tracked and monitored (Rallapalli, Gondkar &
Ketavarapu, 2016). The controlled application offers greater level of accuracy as well as
efficiency.
Financial report analysis: The financial reports can be easily analyzed with the help of
this cloud vendor. In additional to this the banking and reconciliation processes become easy to
apply.

5SYSTEM ANALYSIS
The advanced customer management: The customer management system offers
marketing campaign management so that the users can easily lead the needful activities
(Raghupathi & Raghupathi, 2014). It can build a secured relationship between the service
provider and the consumer to grow the sales profitability effectively.
Inventory management: SAP gives integrated inventory management system to the users
with standard Microsoft excel functionalities (Lo’ai et al., 2016).
Security: It gives high level security to the users and thus no unauthenticated users can
act as an obstacle without permission.
2. Review the cloud based solution
From market analysis it has been found that the Cloud service providers are not all time
beneficial besides strength it also has some major weaknesses (Stantchev et al., 2015). The
strength and weaknesses of the cloud platforms are as follows:
Strength and weaknesses of AWS
This is the first cloud platform provider that
offered a public IaaS in the year of 2006.
The environment of the AWS is too vast thus
management become difficult for such service
It offers DNS routing to caching to the load
balancer
Managing software defines data center
sometimes stand difficult
It has the most number of data centers, which
help it to give wide global coverage (Oliveira,
Thomas & Espadanal, 2014)
Due to huge offers sometime the technology
crashes
It gives robust and reliable network service to Information leakage is another major weakness

6SYSTEM ANALYSIS
the users of the service (Zickau et al., 2014)
For different sensitive application this is
beneficial (Tyagi, Agarwal & Maheshwari,
2016)
Sometimes authentication identity issue arises.
Strength and weaknesses of Azure
High availability Needs platform experts
Security Needs proper management
Scalability
Cost effective from the user end (Zickau et al.,
2014)
Strength and weaknesses of SAP
Gives end to end visibility to the supply chain Lac of security
Presence of charge back management Needs experts
Data storing and data processing is easier Redistribution of network is requires
3. SDLC approach
Two different types of software development life cycle approaches are there such as
predictive and adoptive (Wang et al., 2015). The pros and cons for both these approaches are
illustrated below:
Pros and cons of Adoptive SDLC
Pros

7SYSTEM ANALYSIS
 It offers extensive opportunity towards stakeholder’s management system before
the initiation of the project kick off (Hashem et al., 2015).
 It offers early delivery of the software with high level of transparency
 It software development methodology is absolutely customer focused and the
speed of development is also higher than the others
 This can implement high quality software software4 for the users and offers
change management so that changes can be brought during the implementation
phase in between.
Cons
 Needs huge numbers of evolution as well as emergence requirements (Botta et
al., 2016)
 The testing approach of the adoptive system is very complicated
 For successful i9mplementation it needs extensive level of user involvement
with the project
Pros and cons of Predictive SDLC
Pros
 It is quite easy to understand from the developers and user end (Lian, Yen & Wang,
2014)
 Through this approach the time and budget can be initially predicted
 It is easy to manage and it offers clearly visible steps
Cons

8SYSTEM ANALYSIS
 The testing review is very difficult
 For any object oriented complex project this is not at all usable (Sultan, 2014)
Among three of these cloud vendors the most suitable vendor for the Commonwealths
“My health Record” system is Amazon Web Server. In order to implement SAP to their system
the adoptive SDLC approach is required to be chosen (Tyagi, Agarwal & Maheshwari, 2016).
Conclusion
From the above discussion it can be concluded that with the help of cloud based platform
the commonwealths “My health record” keeping system will be able to get a disaster recovery
approach, data backup support and application resilience simultaneously. The three different
cloud vendors chosen for improving this system are Amazon Web Service, Microsoft Azure and
SAP. The features of three of these vendors are elaborated and based on their features the most
suitable cloud platform is found as the SAP for the “My health record” keeping system. After
analyzing the strength and weaknesses of the system the system developers have chosen this one.
It is expected that with the successful implementation of this particular approach the service
providers will be able to gain effective commercial revenue from the market and more number of
consumers throughout Australia.

9SYSTEM ANALYSIS
References
Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and
internet of things: a survey. Future Generation Computer Systems, 56, 684-700.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The
rise of “big data” on cloud computing: Review and open research issues. Information
Systems, 47, 98-115.
Hossain, M. S., & Muhammad, G. (2015). Cloud-assisted speech and face recognition
framework for health monitoring. Mobile Networks and Applications, 20(3), 391-399.
Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An exploratory study to understand the critical
factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal
of Information Management, 34(1), 28-36.
Lo’ai, A. T., Mehmood, R., Benkhlifa, E., & Song, H. (2016). Mobile cloud computing model
and big data analysis for healthcare applications. IEEE Access, 4, 6171-6180.
Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud
computing adoption: An analysis of the manufacturing and services sectors. Information &
Management, 51(5), 497-510.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and
potential. Health information science and systems, 2(1), 3.

10SYSTEM ANALYSIS
Rallapalli, S., Gondkar, R. R., & Ketavarapu, U. P. K. (2016). Impact of processing and
analyzing healthcare big data on cloud computing environment by implementing hadoop
cluster. Procedia Computer Science, 85, 16-22.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management,
and security. CRC press.
Stantchev, V., Barnawi, A., Ghulam, S., Schubert, J., & Tamm, G. (2015). Smart items, fog and
cloud computing as enablers of servitization in healthcare. Sensors & Transducers, 185(2), 121.
Sultan, N. (2014). Making use of cloud computing for healthcare provision: Opportunities and
challenges. International Journal of Information Management, 34(2), 177-184.
Tyagi, S., Agarwal, A., & Maheshwari, P. (2016, January). A conceptual framework for IoT-
based healthcare system using cloud computing. In Cloud System and Big Data Engineering
(Confluence), 2016 6th International Conference (pp. 503-507). IEEE.
Wang, Y., Kung, L., Ting, C., & Byrd, T. A. (2015, January). Beyond a technical perspective:
understanding big data capabilities in health care. In System sciences (HICSS), 2015 48th Hawaii
international conference on (pp. 3044-3053). IEEE.
Zhang, Y., Qiu, M., Tsai, C. W., Hassan, M. M., & Alamri, A. (2017). Health-CPS: Healthcare
cyber-physical system assisted by cloud and big data. IEEE Systems Journal, 11(1), 88-95.
Zickau, S., Thatmann, D., Ermakova, T., Repschläger, J., Zarnekow, R., & Küpper, A. (2014,
October). Enabling location-based policies in a healthcare cloud computing environment.
In Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on (pp. 333-338).
IEEE.

11SYSTEM ANALYSIS