Human lives have used information Technology to that extent that it has become an integral part of human life. Information technology is being used by health centers to make the system much faster and efficient. The cloud information technology that is used by “My Health Record” consists of different types of service models like IaaS, PaaS, as well as SaaS and there are deployment models like private, hybrid, community clouds, and public cloud. The top three vendor solutions that can be recommended for “My Health Record” are listed below.
The Microsoft is considered as to provide a robust operational performance as it provides a public cloud service to the companies to whom the company provide service for (Hashem et al., 2015). The business of Microsoft is a well-organized business that has mainly three segments: intelligent cloud, personal computing as well business processing that includes Microsoft Office, Dynamics, and many more.
The features that Microsoft provide are:
The Microsoft provides deployment as well as designing of the applications that are involved in the network. Microsoft provides the company a robust operational performance. Different cloud computing services are also provided by the Microsoft that includes operating system, tools, databases, programming frameworks and languages and many more. Microsoft also provides the company with a 30days free trail for trying their service.
The features that AWS provides are: The service that AWS provides is the safest platform for cloud service and provides a protected cloud service to the companies. The AWS provides a wide range of infrastructure services that includes computing power, networking, and computing power. The static websites can be hosted with the help of AWS. Complicated applications can be made by with the help of AWS that makes the application trustworthy, scalable, as well as flexible. AWS is free for all the users.
The features that Salesforce provide includes cloud computing that offers all applications that are required by the business including the CRM, customer service, mobile application, marketing, sales and many more (Almorsy, Grundy & Müller, 2016). There are many cloud service that the Salesforce provides including the Service Cloud, Marketing Cloud, Sales Cloud and many more. This also manages to keep the information of the customer contact as well as helps in automating the business process. This helps the customer to provide their service anywhere at any time the customer wants.
The advantages that the cloud service provides are listed below.
The disadvantages that cloud provides are listed below.
Advantages as well as disadvantages of predictive SDLC model-
The advantages that this model of SDLC provide is that in this model the objective is defined clearly and is clearly understandable (Bajaj, Patel & Patel, 2015). This approach provides steady project approach and measures all the progress of the system. Technical risks are minimized in this model. The disadvantage that this model provides is that this model is time consuming and all the planning is to be needed before starting the project.
Advantages as well as disadvantages of adaptive SDLC model
The advantages that the adaptive model defines is that this process helps to add possible functionality in project according to its need. Implementation is the main factor of this model rather than functionality (Matharu et al., 2015). The disadvantage that it provides is restriction of re-usability and in different application, this approach is used in different way.
The recommended approach of SDLC in “My Health Record” system is predictive approach of SDLC model. As in this model, the objective of the project is to be defined clearly in the starting of the project. This helps the developer to complete the project in time and with all the requirements that the customer needs. Changing requirement leads to many difficulty in completion of the project.
References
Ali, M., Khan, S. U., & Vasilakos, A. V. (2015). Security in cloud computing: Opportunities and challenges. Information sciences, 305, 357-383.
Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing security problem. arXiv preprint arXiv:1609.01107.
Assunção, M. D., Calheiros, R. N., Bianchi, S., Netto, M. A., & Buyya, R. (2015). Big Data computing and clouds: Trends and future directions. Journal of Parallel and Distributed Computing, 79, 3-15.
Bajaj, K., Patel, H., & Patel, J. (2015, October). Evolutionary software development using Test Driven approach. In Computing and Communication (IEMCON), 2015 International Conference and Workshop on (pp. 1-6). IEEE.
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.
Matharu, G. S., Mishra, A., Singh, H., & Upadhyay, P. (2015). Empirical study of agile software development methodologies: A comparative analysis. ACM SIGSOFT Software Engineering Notes, 40(1), 1-6.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC press.
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