@article{rao2015survey,
  title = {A Survey on Performance Metrics in Server Virtualization with Cloud Environment},
  author = {Vedula Venkateswara Rao and Mandapati Venkateswara Rao},
  year = 2015,
  url = {https://ibimapublishing.com/articles/JCC/2015/291109/},
  journal = {Journal of Cloud Computing},
  volume = 2015 (2015),
  pages = 12,
  doi = 10.5171/2015.291109,
  abstract = {Cloud computing has been the subject of many researches. Researches show that cloud computing permits to reduce hardware cost, reduce the energy consumption and allow a more efficient use of servers. Nowadays lot of servers is used inefficiently because they are underutilized. The uses of cloud computing associate to virtualization have been a solution to the under utilization of those servers and also Data Centers of today are rapidly moving towards the use of server virtualization as a preferred way of sharing pool of server hardware resources between multiple gust domains that hosts different applications. However the virtualization performances with cloud computing cannot offer performances equal to the native performances. The Hypervisors of the virtualized servers, such as Xen use fair schedulers to schedule the guest domains, according to pointers or weights assigned to the domain by administrators. The Hosted application performance is sensitive to the scheduling parameters of the domain on which the application runs. However exact relationship between the parameters of the domain and application performance measures such as response time or through put is not obvious and not static as well, further more due to dynamics present in the system there is a need for tuning of the scheduling parameters. Recently virtual machines have emerged as the basis for allocating resources in enterprise settings and hosting centers. This paper studies various issues in analyzing the performance of Server Virtualization. To be able to meet this aim it has been reviewing at first the previous researches on this area. The aim of this paper is to identify various parameters and issues for evaluating performance of virtualization in cloud computing environment in terms of CPU, memory and I/O devices performances. The paper also studies various issues to understand effectiveness of existing Quality of Service (QoS) controls on resource usage and thereby application performance.},
  keywords = {Cloud computing, Virtualization, Hypervisor, Virtual Machine, CPU performance, Memory Performance, I/O Performance, Quality of service},
  note = Article ID: 291109
}