Abstract
The main services in cloud computing are SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service). Among these services, server virtualization falls into IaaS which is a service for lowering server maintenance costs. Generally, the primary aim of server virtualization has been to improve system performance by replacing multiple servers with a single server with better performance. But it carries the problem of increased cost, needed for the installation of new servers for server virtualization.In this paper, grid infrastructure is used for server virtualization in which existing servers are used rather than bringing in new servers. Server virtualization service is provided using scheduling algorithms for distributed servers or resources in grid computing. To overcome potential performance limitations that come from using existing servers, mathematical models of Meta and Sleep Servers under the grid infrastructure environment are used to provide server virtualization service with high availability.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
