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Data Centre Technology- Overview of one of the technologies

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Data Centre Technology- Overview of one of the technologies

Organizations are making efforts to group IT resources. The resources are placed in close proximity. It is no longer placed in a geographically dispersed manner. It ensures power-sharing, improved accessibility as well as higher efficiency. The concept of data centers has gained wider popularity due to this new trend. In modern organizations, data centers operate as a specialized infrastructure. The IT resources are now stored in a centralized way and various components such as databases, servers, telecommunication devices, and networking devices have been grouped together (Liu & Terzis, 2012). Data centers consist of various technologies such as virtualization, modularity and standardization, remote operation, automation, security-aware design, computing hardware, and storage hardware and others. In this case, the focus will be given on automation.

In the case of automation, tasks can be performed without the interference of human beings. There are specialized platforms that can automate tasks such as patching, configuration, monitoring, and provisioning. These tasks no longer require human supervision. Autonomic computing has leveraged because of advancements in the platforms of data centers. It enables technologies for self-recovery as well as self-configuration. By automating tasks, it is possible to run the routine workflows and various data center processes such as application delivery, maintenance, monitoring, and scheduling (Malet & Pietzuch, 2010). Automation also increases operational efficiency and agility. IT tasks can be performed routinely within a short span of time. Services can be delivered on demand because the entire process is automated. The end users can be benefitted from the services. The computational time required by automated services is far less than the computational time required by humans. Specific tools are used for the automation process. The tools can save money, time, and resources. It can ensure the delivery of services in a consistent way.

Moreover, by automating the data centers, it is possible to increase its sustainability. Whenever the business processes are automated, it becomes easier to handle the managerial activities. Automation can substitute the human effort and it acts as a cost-reduction vehicle (Alaraifi, Molla & Deng, 2011). The ability of the organization increases as well. Research also shows that automation has the ability to transform an organization and ensure long-term benefits. The events that are basic, transactional, and routine by nature can be easily automated. Moreover, with the help of automation, it is possible to solve issues as soon as it arises. It is also possible to avoid the issues completely. An organization nowadays explores various options such as server automation, discovery mapping, and automated database administration. Apart from speeding up the process, automation also enhances the security component of a business. It is possible for businesses to achieve compliance with policies such as SCAP, DISA, PCI, and HIPAA. Automation also reduces the assessment time required previously. Organizations can quickly develop various remediation plans and manage complexities across environments. It is now easy to detect all forms of network vulnerabilities. Companies no longer require additional software for detecting vulnerabilities. The best practices can be deployed and it is possible to maintain the regulatory standards as well.

 

 

References

Alaraifi, A., Molla, A., & Deng, H. (2011). Information systems for data centres: Description and operational characteristics. Proceedings of PACIS.

Liu, J., & Terzis, A. (2012). Sensing data centres for energy efficiency. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences370(1958), 136-157.

Malet, B., & Pietzuch, P. (2010, November). Resource allocation across multiple cloud data centres. In Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science (pp. 1-6).

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