Discuss about the Importance of Testing and Quality Assurance.
The “My Health Record” project is considering a cloud based solution that is needed to be investigated. The various issues associated with the use of cloud such as data security, maintaining the confidentiality of the data and maintenance of data privacy can be addressed by making an accurate choice of the vendor that will be providing a cloud solution. The choice of the vendors mainly depends on the features and the requirements of the system in which the cloud solution is to be deployed (Sen, 2015). The features of three cloud vendors are evaluated in order to understand which cloud solution will be appropriate to choose from. The top three cloud vendor across the world is Microsoft, Amazon and IBM. The features of each of the cloud vendors are to be evaluated in order to understand which cloud vendor can be chosen for the project. These features provide an idea why these cloud vendors will be suitable for consideration.
Microsoft is one of the top cloud vendors across the world as it supports all the three layers of cloud that is IaaS, PaaS and SaaS. This cloud vendor provides an excellent and unmatched commitment for developing and deploying different application in cloud. Six features of Microsoft cloud vendor that make it one of the top cloud vendors of the world are as follows (Microsoft, 2018)-
Amazon is another top cloud vendor across the world. Amazon web service is a cloud based platform that provides integrated web service to the different business across the world. Amazon web service provided by the Amazon vendor offers infrastructure as a service cloud environment to the business. The features of Amazon cloud vendor is discussed below (Amazon Web Services 2018)-
IBM is one of the most successful cloud vendors that are providing on premises technology to cloud. Like Microsoft, IBM cloud offers solution such as software as service platform as service and infrastructure as service. The features of IBM cloud are as follows (IBM Cloud services, 2018)-
There are mainly three cloud environments, which are public cloud, private cloud and hybrid cloud. It is essential to evaluate which cloud environment will be appropriate for consideration of My Health Record System. The use of public cloud will not be suitable as maintenance of data security is essential in this system. Since in public cloud, the data can be accessed by public, it is very difficult to maintain the privacy and the confidentiality of the data. The security is stronger in private cloud but it cannot be considered as its implementation cost is high and it will restrict the number of people that can access the system (Zheng et al., 2013). Therefore it is recommended for the government of Australia to make use of hybrid cloud. Hybrid cloud environment can be defined as a cloud computing environment that uses a mix of public and private cloud to offer tailored services that suits the needs of the customers (Li et al., 2015). In hybrid cloud environment, a combination of both public and private cloud allows the data and applications to be shared between them. The strength and weakness of the hybrid cloud environment are discussed below.
The strengths of using a hybrid cloud environment are discussed below-
The weaknesses of hybrid cloud are as follows-
These are the major strengths and weaknesses of using hybrid cloud environment for My Health record system.
It is to be decided whether a predictive SDLC approach will be chosen for the project implementation or an adaptive SDLC approach. For that, the pros and cons of predictive and adaptive SDLC are needed to be evaluated.
There are a number of advantages associated with the use of a predictive SDLC approach which are listed below-
Pros
Cons
A predictive SDLC approach will be appropriate for the project since the requirements of the project are quite clear and the project is needed to be implemented in scheduled time. Furthermore, the use of predictive SDLC eliminates the chances of change in project scope thereby reducing the risks associated with the project. Therefore the choice of adaptive SDLC is appropriate for the project “My health Record” by Commonwealth Government of Australia.
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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