Cloud Computing - Research Paper Example

The second step is the architecture, engineering and deployment, which basically entails setting architectural framework, engineering the process of cloud computing and putting it into action. Another important step in cloud computing is governance and management, and this involves the dynamics of workflow coding, service assurance, security, operation, provision and consumption. It also involves issues of automation management and its incorporation into every function and layer of the organization.

Question 1(b) Deployment of cloud systems in organizations depend on a number of variables, including the structure of the organization and its provisioning location. To elaborate on these variables, we will examine the conditions that suit the deployment of different models of cloud systems in organizations and examples of such models of cloud systems. Deployment of a cloud system depends on the type of cloud service offering available. This will determine the model of cloud system deployed.

For instance, if the cloud system available is public, then the model of cloud system deployed will be public cloud. The type of infrastructure available also will influence the type of cloud system deployed. . Cloud deployment also depends on the economic situation of the organization. For instance, shared infrastructure reduces costs as compared to using infrastructure that can be accessed only by a specific organization. An organization must consider the security conditions of the cloud system they want to adopt.

In terms of security, however, private cloud takes the crown. Question 2 Data centric is the concept of using the database as the dominant aspect of applications in the organization. In this case, the fundamental unit of communication in a distributed system is a data object value, in which all the application nodes have an understanding of a single value. Cloud computing creates a situation where there is large amounts of both unstructured and structured information that needs processing, analysis and linking (Erl, Puttini, & Mahmood, 2013).

This calls for a single unit with Big Data capabilities to access, process and store a vast amount of data. In addition, the large volumes of data in cloud computing requires an application that can mine, analyze and visualize the presented data into understandable information. This is where data centric comes in concerning cloud computing and data management. Adoption of cloud services presents challenges of data privacy and issues of risk to an organization. Therefore, security has been a major obstacle in adoption of cloud services, which calls for a way of solving the issue.

Thanks to data centric approach, one of its effects on cloud computing and data management is that it provides a safe way of sharing data without compromising an organization’s privacy. As a result, data centric helps in preserving the sensitive information of a company, which would otherwise be unsafe due to