Cloud Based Solution Report Of My Health Record

Vendor Solution

Discuss about the Cloud Based Solution Report Of My Health Record.

The technological innovation would be aligned for forming the implication of the effective development of the technology. The cloud based system has founded its use for the alignment of the activities for developing the integration of the effective operation development (Hashem et al., 2015). The alignment of the activities would also be helpful for forming the utilization of the operations favouring the implication of the effective development of technology. The cloud system development would allow the growth of wireless network process for aligning the development of the operations. The following report would provide the analysis of the various cloud vendor process for the alignment of the activities. It is possible that the development of the activities would also be helpful for forming the alignment of the improved technology development. The utilization of the cloud based activities would be supported by the deployment of the effective integration development (Rittinghouse & Ransome, 2016). The innovation technology would form the implication of the activities for aligning the utilization for developing process development.

The implementation of the cloud computing services for the My Health Records would be implied for developing the effective implication of the activities favouring the utilization of the successive development model (Botta et al., 2016). The vendor solution would be implied for developing the implementation of the effective integration of the activities. The deployment of the activities would form the development of the activities. The various cloud based vendors would be helpful for developing the effective solution and alignment of the successive development. The vendors like AWS, Azure Cloud, and Google can be contacted for developing the information system processing for the development of the cloud vendor implication. The alignment of the activities would support the implication of the cloud vendor and it would be aligned with the implication of the successive development of the activities (Almorsy, Grundy & Muller, 2016). The cloud vendor comparison is given below,

Microsoft Cloud Vendor: The Microsoft cloud vendor would be helpful for developing the cloud vendor selection for the alignment of the effective implication methods. The cloud vendor is the second largest provider of cloud services and it would allow the utilization of the effective development process (Sen, 2015). The integration of the activities would form the support for the development of the successive integration of the cloud development activities. The cloud vendor development would ease the implication of the improved activities for the cloud vendor. The analysis of the effective communication would support the development of the factors aligning the utilization of the improved operation development. The development of processes for the integration would allow the utilization of the improved functional development. The support and the integration of the operations would form the development of the successive cloud activity development (Ali, Khan & Vasilakos, 2015). However, the Azure has the problems of aligning the incomplete management tooling and enterprise ready.  

Microsoft Cloud Vendor

Amazon Web Services: The AWS would be formed for aligning the deployment of the successive dominant market capture for the alignment of the effective activity development. The alignment would support the utilization extensive and mature offerings for the project completion (Tao et al., 2014). The development of the effective services would form the implication of the improved cloud services. The Amazon web services would form the extensive offering for ‘Health Record System’. The deployment of the activities would also be helpful for carrying out the innovation and forming the successive deployment of the effective services. The support and the integration of the operations would form the development of the successive cloud activity development. However, the AWS is complex in using and it also results in problems for cost management.

Google Cloud: The Google cloud is one of the most advanced cloud computing service that is committed for the deployment of open source portability (Wei et al., 2014). The alignment of the activities would support the designing of the cloud network based activities. The commitment for the deployment of the activities would align with the implication of the operations and it would form the utilization of the improved functional development. The successive alignment of the cloud network for Google is based on expertise and flexible contracts. The support and the integration of the operations would form the development of the successive cloud activity development.  However, the problems of Google Cloud are fewer features, services, and data centres when compare to the other two cloud services vendors.

The cloud based data services would be helpful for aligning the implication of the successful deployment of the operations (Sanaei et al., 2014). The cloud computing services would be helpful for forming the implication of the successful development factors. The review of the cloud based database would help in forming the alignment of the operations for listing the formation of the activities. The cloud based database services would develop for listing the development of the activities for forming the alignment of the operations. The cloud based services would be formed for implementing the effective activity development. The benefits of using the cloud based database are scalability, integrity, and access (Liu, Chan & Ran, 2016). However the functions of the cloud also results in forming the drawbacks of data security and access distribution.

Scalability: The deployment of the cloud based would form the alignment of the effective integration formation. The scalability functions would be aligned with the implementation of the activities (Kratzke, 2014). The scalability would align for forming the utilization for listing the alignment of the scalability development. The integration would be successive for forming the integration of forming the alignment of the scalable data.

Amazon Web Services

Integrity: The integrity of the data would be helpful for forming the alignment of the effective utilization of the improved functional development (Zhong & Myers, 2016). The formation of the successive alignment of the operations would be formed for developing the integrated information system. The development would be formed for allowance of the effective implication of the successive improvement process. The alignment would also be developed for aligning the modification of the successive development model. The integrity of the database would act as a major factor for the development of the improved functional development.

Access: The implication of the cloud platform would help in increasing the development of the improved activity development (Bahrami & Singhal, 2015). The allocation of the activities would also be helpful for making the data access successful for the deployment of the effective activity development. The access from the network would be listed for forming the allocation of improved functional development using the cloud computing development. The network access would help in forming the alignment of the operations for forming the significant development of the activities. The access is developed for improving the operations forming the implication of the operations.

Problems of cloud: The cloud network development for the ‘my health records’ would be formed with the probability of security issues and fidelity of the data. Since the implication of the cloud network, the data would be available for being accessed from external sources also. The implication of the cloud network would also result in forming the major setback in terms of threats of data leak (Hamdaqa & Tahvildari, 2014). The external hackers would be able to get into the cloud access for extracting information from the cloud network. The threats and possible issue development would result in forming the various issues for the developing successive integration development. The cloud network connection would be under the threat of developing the alignment modification.

SDLC approach stands for System Development Lifecycle approach and it is most widely used for organizing the activities for achieving a final output for the project. The SDLC is deployed for citing the alignment of the successive development of the activities favouring the utilization of the improved operation development (Alshamrani & Bahattab, 2015). The two types of SDLC process would be aligned for the integration of the activities and they are predictive and adaptive. The predictive SDLC is helpful for strictly abiding with the activities and it follows waterfall methodology. The deliverable for the system would be certain and it would plan for risk and changing the planning methodology with the less coordinating of the team development process. The adaptive SDLC would be developed for aligning the successful integration of the activities in an adaptive form (Saxena & Upadhyay, 2016). The adaptive SDLC would be helpful for aligning the formation of the iterative model like agile that can be modified at any time.

Google Cloud

AWS cloud has been selected for the project of ‘My Health Records’ and it would form the utilization of the effective development models. The AWS cloud system development was helpful for the growth of wireless network process for aligning the development of the operations. The utilization of the AWS cloud based activities supported by the deployment of the effective integration development. The broad set of feature would allow the utilization of the improved services. It would provide the effective security and integrity of the cloud vendor solution. The hybrid structure of the cloud would also be helpful for aligning the utilization of the effective integration methods. The broad set of feature would allow the utilization of the improved services.

Conclusion

The report had provided the analysis of the various cloud vendor process for the alignment of the activities of ‘My Health Records’. The AWS cloud system development was helpful for the growth of wireless network process for aligning the development of the operations. The utilization of the AWS cloud based activities supported by the deployment of the effective integration development. The innovation technology formed the implication of the activities for aligning the utilization for developing process development. The adaptive SDLC would be helpful for aligning the formation of the iterative model like agile that can be modified at any time.

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.

Alshamrani, A., & Bahattab, A. (2015). A comparison between three SDLC models waterfall model, spiral model, and Incremental/Iterative model. International Journal of Computer Science Issues (IJCSI), 12(1), 106.

Bahrami, M., & Singhal, M. (2015). The role of cloud computing architecture in big data. In Information granularity, big data, and computational intelligence (pp. 275-295). Springer, Cham.

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.

Hamdaqa, M., & Tahvildari, L. (2014, September). Prison break: A generic schema matching solution to the cloud vendor lock-in problem. In Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA), 2014 IEEE 8th International Symposium on the (pp. 37-46). IEEE.

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.

Karim, N. S. A., Albuolayan, A., Saba, T., & Rehman, A. (2016). The practice of secure software development in SDLC: an investigation through existing model and a case study. Security and Communication Networks, 9(18), 5333-5345.

Kratzke, N. (2014). Lightweight virtualization cluster how to overcome cloud vendor lock-in. Journal of Computer and Communications, 2(12), 1.

Liu, S., Chan, F. T., & Ran, W. (2016). Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes. Expert Systems with Applications, 55, 37-47.

Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC press.

Sanaei, Z., Abolfazli, S., Gani, A., & Buyya, R. (2014). Heterogeneity in mobile cloud computing: taxonomy and open challenges. IEEE Communications Surveys & Tutorials, 16(1), 369-392.

Saxena, A., & Upadhyay, P. (2016). Waterfall vs. prototype: Comparative study of sdlc. Imperial Journal of Interdisciplinary Research, 2(6).

Sen, J. (2015). Security and privacy issues in cloud computing. In Cloud Technology: Concepts, Methodologies, Tools, and Applications (pp. 1585-1630). IGI Global.

Tao, F., Cheng, Y., Da Xu, L., Zhang, L., & Li, B. H. (2014). CCIoT-CMfg: cloud computing and internet of things-based cloud manufacturing service system. IEEE Transactions on Industrial Informatics, 10(2), 1435-1442.

Wei, L., Zhu, H., Cao, Z., Dong, X., Jia, W., Chen, Y., & Vasilakos, A. V. (2014). Security and privacy for storage and computation in cloud computing. Information Sciences, 258, 371-386.

Zhong, F., & Myers, M. D. (2016, June). Client-Vendor Relationships in Cloud Computing: Lessons from IT Outsourcing. In PACIS (p. 138).

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