Survey on Performance Evaluation of Private Cloud
Authors: Vaibhav Sharma , Prof. Ruchika Pachori
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Abstract
Cloud computing is emerging at the following three major trends — service orientation, virtualization and standardization of computing through the Internet. Cloud computing enables users and developers to use services without knowledge of, nor control over the technology infrastructure that supports them. In this era, Private cloud is now became popular by achieving a great efficiency of resources as well as improved to manage IT resources and services within an enterprise or organization. Cloud Storage is an attractive concept in IT field since it allows the resources to be provisioned according to the user needs. In private cloud resources are provided over intranet within an organization. In the studied research paper the implementation steps of private cloud is given. In this Paper, first we have to establish a private cloud and then we are going to measure the performance factors that is CPU , Memory Usage using System monitoring tools so that it gives the better evaluation under different circumstances of deployment of private cloud .After implementing this, We will capable to measure performance factors on private cloud.
Introduction
Cloud Computing represents a strategic generational shift in how IT operates. It is a model promising more efficient use of hardware resources through virtualization. Cloud Computing is a web processing with large amount of resource. The user of the cloud can obtain the service thought network (in both internet and intranet).
Conclusion
This chapter provides the summary of the proposed research work. In this Way we will implement private cloud for organization & measures the important factors which affect the performance of private cloud. Private cloud for Educational Institutions mainly helps the institutes in eliminating under utilization of their existing resources and improves security since the management of the data is controlled internally.
Copyright
Copyright © 2025 Vaibhav Sharma , Prof. Ruchika Pachori . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.