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Cloud Deployment and Delivery Models for Child Protection

Discuss about the Cloud Based System for Child Protection.

Cloud based system is the most convenient service that can solve any kind technical problem in the contemporary time. The purpose of this study is concerned with data exchange and payroll service proposed for the Child Protection. This system can provide efficiency to Child Protection for solving their problems within their payroll system as well as in data exchange operations. In addition to this, the report is elaborating the deployment and delivery modules required for analyzing the impact of these modules on the employees of Child Protection.

The deployment and delivery model of the cloud base explains the accurate purpose and type of the cloud. In addition to this, the deployment models of the cloud base also provide information about the websites that the cloud base is using for adopting the facilities and meeting the user demands (Ampatzidis et al., 2016). Most important advantages of the cloud deployment model is that this model reduces the capital expenditures involved within the system. There are mainly four cloud deployment model available:

Private Cloud: This type of cloud provides the service internally. The system in this type of cloud base is secured with a safeguard such as firewalls. This protects the user data from being leaked.

Public Cloud: This type of cloud provides the services to the network that is open to all the users. This model represents the accurate hosting structure (Barbera et al., 2013).

Hybrid Cloud: This type of cloud service provides all the facility that are mentioned for the Public and Private cloud applications.

Community Cloud: Community cloud is used to make sharing of cloud resources in between multiple organizations those belongs to a particular community (Calheiros et al.,  2013).

According to the specific requirements of the Child Protection Hybrid Cloud will be the perfect cloud deployment model for fulfilling their demands. Following are the specific implementation advantages that will be achieved by Child Protection if they implement Hybrid cloud within their system. The benefits of Hybrid cloud according to the demands of Child Protection are as follows:

Cost effectiveness: Cost effectiveness is one of the effective advantages of the Hybrid Cloud based system (Curry et al., 2013). In other deployment modules, the system requires the manual updating facility in order have effective performance but in Hybrid Cloud this is automatically done by connecting the system with internet. 

Architectural Flexibility: Hybrid Cloud set up within any system allows the user to achieve flexible set of operations that can help the user in mandating the requirements as per their demands (Garrison et al., 2012). According to the situation, the cloud based system adopts with the system requirements.

Influences of Deployment and Delivery Model on the Employees of Child Protection

Increased Security: Hybrid Cloud base allows the server to isolate the threats from the actual system architecture.

The Implementation of the deployment model of cloud based system will provide specific impact upon every employees of Child Protection. These impacts may be positive or negative. All of the positive and negative impacts of cloud based system is as follows:  

The positive impacts of deployment model of cloud base on the employees of Child Protection are as follows:

  • Hybrid cloud base helps each employee to learn new thing and aspects every day. The entire system set is improvised with the help of the Hybrid cloud base.
  • Hybrid Cloud model is more time efficient than any other manual system, so the employees of Child Protection can do their job in a flexible way (Guo et al., 2015).
  • From the perspective of knowledge, the knowledge of the employees of Child Protection can be improvised.
  • Improvement of the employee is influencing the developmental perspective of Child Protection.

The negative impacts of the deployment model of cloud base on the employees of Child Protection are as follows:

  • Reluctance to change of work environment of the employees may leads to less production of Child Protection.
  • Complexity of the deployment model can make employees unmotivated (Lin & Chen, 2012).
  • Communication process between the employees can be more complex for using cloud deployment model.
  • Developments of the employees are blocked with implementation of new and complex cloud based models (Tan et al., 2013).

The cost and billing comparison of the cloud vendors that provides data exchange services are  as follows:

IBM Bluemix

Amazon Web Services

Engine Yard

Service Model

PaaS

 IaaS

SaaS

PaaS

 IaaS

PaaS

Deployment Models

Public and Public

Public and Private

Public Cloud

Server Operating system

 Windows, Linux

Windows, Linux

Linux

Base Operating Pricing

Start up business:  250 MB, Free

Midsized Business: 600 MB. 24.15 AU dollar

Big Enterprise: 900 MB, 205.35 AU dollar

2 TB of data: 0.04 AU dollar/month

Next 70 TB: 0.0226 AU dollar/month

Next 500 TB: 0.0230AU dollar/month

0.04 dollar per hour

The cost and billing comparison of the cloud vendors that provides payroll services are as follows:

Windows Azure

Cloud  Payroll

MyPAYE

Features

·         This payroll system provide automated salary providence facility

·         System keeps records of all the financial transactions

·         This payrolls system maintains all the data related to leave and staff

·         This payroll system provide automated salary providence facility

·         System keeps records of all the financial transactions

·         This payrolls system maintains all the data related to leave and staff

·         This payroll system provide automated salary providence facility

·         System keeps records of all the financial transactions

·         This payrolls system maintains all the data related to leave and staff

Interfaces

Xero, MYOB, Intuit, Max, Palace etc.

Sherpa, Workflow Max, palace etc.

Xero accounting software is used in as the interface of MyPAYE.

Price

0.02 AU dollar

0.45 AU dollar

1 dollar/ month

The security perspectives for choosing Windows Azure are explained bellow:

Safety and identity management: Windows Azure system provides the assured security and integrity measures that protects the user data (Park & Ryoo, 2013). The identity thefts can be prevented by this.

Data security: In the cloud base, data integrity, accountability and confidentiality is maintained. This aspect prevents the chances of data breaches.

Encryption: Windows Azure provides end-to-end encryption of the user data (Pearson, 2013). This aspect leads to better protection of user data within any concerned system.

Conclusion 

It is concluded that the above mentioned deployment and delivery model of cloud computing system can help Child Protection in achieving their goals in order to solve the problems related to payroll and data exchange system. This report is providing examples of six cloud vendors that provides the data exchange and payroll system to their users. 

References

Ampatzidis, Y., Tan, L., Haley, R., & Whiting, M. D. (2016). Cloud-based harvest management information system for hand-harvested specialty crops.Computers and Electronics in Agriculture, 122, 161-167.

Barbera, M. V., Kosta, S., Mei, A., & Stefa, J. (2013, April). To offload or not to offload? the bandwidth and energy costs of mobile cloud computing. InINFOCOM, 2013 Proceedings IEEE (pp. 1285-1293). IEEE.

Calheiros, R. N., Netto, M. A., De Rose, C. A., & Buyya, R. (2013). EMUSIM: an integrated emulation and simulation environment for modeling, evaluation, and validation of performance of cloud computing applications.Software: Practice and Experience, 43(5), 595-612.

Curry, E., O’Donnell, J., Corry, E., Hasan, S., Keane, M., & O’Riain, S. (2013). Linking building data in the cloud: Integrating cross-domain building data using linked data. Advanced Engineering Informatics, 27(2), 206-219.

Garrison, G., Kim, S., & Wakefield, R. L. (2012). Success factors for deploying cloud computing. Communications of the ACM, 55(9), 62-68.

Guo, Z. X., Ngai, E. W. T., Yang, C., & Liang, X. (2015). An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment. International Journal of Production Economics, 159, 16-28.

Lin, A., & Chen, N. C. (2012). Cloud computing as an innovation: Percepetion, attitude, and adoption. International Journal of Information Management, 32(6), 533-540.

Park, S. C., & Ryoo, S. Y. (2013). An empirical investigation of end-users’ switching toward cloud computing: A two factor theory perspective.Computers in Human Behavior, 29(1), 160-170.

Pearson, S. (2013). Privacy, security and trust in cloud computing. InPrivacy and Security for Cloud Computing (pp. 3-42). Springer London.

Tan, L., Haley, R., Wortman, R., Ampatzidis, Y., & Whiting, M. (2013, August). An integrated cloud-based platform for labor monitoring and data analysis in precision agriculture. In Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on (pp. 349-356). IEEE.

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