Discuss about the System Analysis Design and SDLC Approach.
The common wealth government of Australia will be launching a ‘My Health Record’ system. This system will provide a secure online summary of the individual’s health information. The system will be designed in such a way that the users can control what goes into the health record system. However, in order to protect the security and the confidentiality of the data and the information that is stored in the health record system, it is essential to properly identify a correct vendor that will be suitable for providing a cloud solution (Garg, Versteeg & Buyya, 2013). The report further reviews the strengths and weaknesses of cloud based solutions and whether it will be appropriate to use cloud solutions for the storage of data in cloud. The pros and cons of using predictive and adaptive SDLC approach are further discussed in this report.
My Health Record system will be making use of the cloud based model in order to store the data of the patients. This is decided since the use of cloud increases the accessibility of the data and increases data security as well. It is essential to choose vendors that will be able to provide cloud solutions which will meet the requirements of the information system. The three cloud vendors that are chosen for the purpose are Microsoft, Amazon and IBM. The features of cloud based solutions that are provided by each of these cloud vendors makes them suitable for the requirements of the project that deals with development of “My Health Record System”.
Microsoft is one of the leading cloud vendors across the globe. It provides solution to all the three layers of cloud , which are IaaS, PaaS and SaaS. The different features of this cloud service that makes it suitable for the need of the project My Health Record system are as follows (Microsoft Azure, 2018)-
Another most widely used cloud vendor is Amazon as it offers a customized cloud solution to the customers. The significant features that make Amazon clod services appropriate for consideration are as follows (Amazon Web Services, 2018)-
IBM is another cloud service provider that is considered for this project. The suitability of this vendor for this project is evaluated on basis of its features. The features of the services provided by IBM cloud are as follows (IBM Cloud services, 2018)-
The choice of the cloud approach is to be evaluated from the options of public, private and hybrid cloud (Zheng et al., 2013). It is essential to consider which cloud environment will be suitable for deploying the ‘My health Record System’. The choice of public cloud cannot be considered as one of the significant aims of the project is to maintain the privacy and confidentiality of the data which will not be maintained by the public cloud environment (Sen, 2015). This is because the data can be publicly acessed which cannot be allowed in case of My Health Record Project as the confidentiality of the patients’ data is to be maintained. Private cloud on the other hand provide a robust security option to the clients as the data stored in private cloud cannot be accessed by any unauthorized person (Jadeja & Modi, 2012). However, the cost of implementation is very high and the stored data will have a very restricted access. Therefore the choice of private cloud environment will not be appropriate as well. For this project, the hybrid cloud environment is proposed. The choice of the hybrid cloud environment is appropriate for this project since it offers a mix of both public and the private cloud (Li et al., 2013). The much needed security feature of offered by the private cloud and the public cloud helps in easy data accessibility. Therefore the choice of this environment is appropriate. The strength and weakness of the hybrid cloud environment are as follows.
Strength
The strengths of using a hybrid cloud environment are as follows (Wang & Jia, 2012)-
Weaknesses
There are certain weaknesses associated with the use of hybrid cloud environment which are as follows-
The above points discuss the strengths and the weaknesses of using a hybrid cloud. However, the security weakness can be eliminated by enforcing access control in the system.
In a predictive SDLC approach, it is assumed that the project is planned and developed well in advance and the project will be developed according to the project plan. This type of project implementation approach ensures that the project is completed within a scheduled time (Balaji & Murugaiyan, 2012). The Adaptive SDLC approach on the other hand is applied to the projects where the project requirements are not clear and the project might expect certain changes in the implementation phase. The advantages and disadvantages of both predictive and the Adaptive SDLC approach is to be evaluated in order to understand which approach should be chosen for the My Health Record Project.
Pros
The advantages of predictive SDLC approach are as follows-
Cons
The disadvantages of using predictive SDLC in a project are as follows-
Pros
The advantages of using an adaptive SDLC approach is discussed below-
Cons
For this project, the predictive SDLC approach is chosen as the scope of the project is clear and the project is needed to be completed within a scheduled time, which is not possible with adaptive SDLC.
Conclusion
The report discusses the three vendors and their features that make them suitable for ‘My Heath Record’ project. The report recommends the use of hybrid cloud environment by analysing its strength and weakness. Furthermore, the use of predictive SDLC approach is found to be suitable for this project as the project has a clear requirement.
References
Balaji, S., & Murugaiyan, M. S. (2012). Waterfall vs. V-Model vs. Agile: A comparative study on SDLC. International Journal of Information Technology and Business Management, 2(1), 26-30.
Cloud Solutions – Amazon Web Services (AWS). (2018). Retrieved from https://aws.amazon.com/solutions/?nc2=h_ql_s&awsm=ql-2
Garg, S. K., Versteeg, S., & Buyya, R. (2013). A framework for ranking of cloud computing services. Future Generation Computer Systems, 29(4), 1012-1023.
IBM Cloud services. (2018). Retrieved from https://www.ibm.com/cloud/services
Jadeja, Y., & Modi, K. (2012, March). Cloud computing-concepts, architecture and challenges. In Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on (pp. 877-880). IEEE.
Li, J., Li, Y. K., Chen, X., Lee, P. P., & Lou, W. (2015). A hybrid cloud approach for secure authorized deduplication. IEEE Transactions on Parallel and Distributed Systems, 26(5), 1206-1216.
Li, Q., Wang, Z. Y., Li, W. H., Li, J., Wang, C., & Du, R. Y. (2013). Applications integration in a hybrid cloud computing environment: Modelling and platform. Enterprise Information Systems, 7(3), 237-271.
Mahalakshmi, M., & Sundararajan, M. (2013). Traditional SDLC Vs Scrum Methodology–A Comparative Study. International Journal of Emerging Technology and Advanced Engineering, 3(6), 192-196.
Microsoft Azure Cloud Computing Platform and Services. (2018). Retrieved from https://azure.microsoft.com/en-in/
Sen, J. (2015). Security and privacy issues in cloud computing. In Cloud Technology: Concepts, Methodologies, Tools, and Applications (pp. 1585-1630). IGI Global.
Tuteja, M., & Dubey, G. (2012). A research study on importance of testing and quality assurance in software development life cycle (SDLC) models. International Journal of Soft Computing and Engineering (IJSCE), 2(3), 251-257.
Wang, J. K., & Jia, X. (2012, November). Data Security and Authentication in hybrid cloud computing model. In Global High Tech Congress on Electronics (GHTCE), 2012 IEEE (pp. 117-120). IEEE.
Zheng, Z., Wu, X., Zhang, Y., Lyu, M. R., & Wang, J. (2013). QoS ranking prediction for cloud services. IEEE transactions on parallel and distributed systems, 24(6), 1213-1222.
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