Describe the value of server farms and virtualization to any large organization? #
The technology related to server farms and virtualization falls in the category of cloud computing. This technology helps the IT managers to think out of the box about computing resources potentially available for fundamental change in business and data storing techniques.
When managers get stuck at some point then the focus of mangers or entrepreneurs regarding IT shift to the services that IT can provide or help in availing services related to technology. (Demirkan)
A server farm #
A server farm is a fine-tuned seamless pool of data storage, network consolidation, and cloud computing. These farms are mostly situated outer than an organization or some other location outside or far.
Server farms mostly prove to be helpful in eliminating the cost of storing data, utilities, and physical resources like labor and space to operate giant servers for its network. Sometimes the data load of many organizations is not so heavy; even they don’t need to set up their servers. (Hao, 2009)
They probably can rent services from server farms which are obviously less expensive for them. Many organizations sometimes are using a small part of their server’s total computing capability, they can rent it out to other small organizations to increase revenue and decrease cost, but the best practice is if the organization uses server virtualization. (Zhang, 2010)
Virtualization #
Virtualization can help in enhancing business agility and cost-saving. Many companies are nowadays employing portioning, clustering, and other virtualization techniques to make the configuration of servers into reusable pools of resources(Uddin, 2012).
Virtualization makes them capable of responding better to the challenging demands on other resources by their businesses. Disaster recovery, workload balancing, and high-availability are the other capabilities of virtualization worth considering in modern business processes. (Khanna, 2006).
Bibliography #
Demirkan, H. &. (n.d.). Leveraging the capabilities of service-oriented decision support systems. Putting analytics and big data in the cloud. Decision Support Systems, 55(1), 412-421.
Hao, F. L. (2009). Enhancing dynamic cloud-based services using network virtualization. In Proceedings of the 1st ACM workshop on Virtualized infrastructure systems and architectures, (pp. 37-44).
Khanna, G. B. (2006). Application performance management in virtualized server environments. In-Network Operations and Management Symposium, 2006. NOMS 2006. 10th IEEE/IFIP, (pp. 373-381). IEEE.
Uddin, M. T. (2012). Green Information Technology (IT) framework for energy-efficient data centers using virtualization. International Journal of Physical Sciences, 7(13), 2052-2065.
Wang, Y. &. (2013). Virtual batching: Request batching for server energy conservation in virtualized data centers. IEEE Transactions on Parallel and Distributed Systems, 24(8), 1695-1705.
Zhang, Q. C. (2010). Cloud computing: state-of-the-art and research challenges… Journal of internet services and applications, 1(1), 7-18.
