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dc.contributor.authorPerumal, Kumaresan
dc.contributor.authorMohan, Senthilkumar
dc.contributor.authorFrnda, Jaroslav
dc.contributor.authorDivakarachari, Parameshachari Bidare
dc.date.accessioned2022-11-08T10:27:27Z
dc.date.available2022-11-08T10:27:27Z
dc.date.issued2022
dc.identifier.citationJournal of Cloud Computing: Advances, Systems and Applications. 2022, vol. 11, issue 1, art. no. 46.cs
dc.identifier.issn2192-113X
dc.identifier.urihttp://hdl.handle.net/10084/148871
dc.description.abstractVirtual machines (VMs) are preferred by the majority of organizations due to their high performance. VMs allow for reduced overhead with multiple systems running from the same console at the same time. A physical server is a bare-metal system whose hardware is controlled by the host operating system. A physical server runs on a single instance of OS and application. A virtual server or virtual machine encapsulates the underlying hardware and networking resources. With the existing physical server, it is difficult to migrate the tasks from one platform to another platform or to a datacentre. Centralized security is difficult to setup. But with Hypervisor the virtual machine can be deployed, for instance, with automation. Virtualization cost increases as well as a decrease in hardware and infrastructure space costs. We propose an efficient Azure cloud framework for the utilization of physical server resources at remote VM servers. The proposed framework is implemented in two phases first by integrating physical servers into virtual ones by creating virtual machines, and then by integrating virtual servers into cloud service providers in a cost-effective manner. We create a virtual network in the Azure datacenter using the local host physical server to set up the various virtual machines. Two virtual machine instances, VM1 and VM2, are created using Microsoft Hyper-V with the server Windows 2016 R. The desktop application is deployed and VM performance is monitored using the PowerShell script. Tableau is used to evaluate the physical server functionality of the worksheet for the deployed application. The proposed Physical to Virtual to Cloud model (P2V2C) model is being tested, and the performance result shows that P2V2C migration is more successful in dynamic provisioning than direct migration to cloud platform infrastructure. The research work was carried out in a secure way through the migration process from P2V2C.cs
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofseriesJournal of Cloud Computing: Advances, Systems and Applicationscs
dc.relation.urihttps://doi.org/10.1186/s13677-022-00326-1cs
dc.rightsCopyright © 2022, The Author(s)cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectphysical servercs
dc.subjectvirtual machinecs
dc.subjectazure cloudcs
dc.subjectPowerShellcs
dc.subjecttableaucs
dc.subjectsynchronizationcs
dc.subjectperformance metricscs
dc.subjectfile sharingcs
dc.subjectkey generationcs
dc.titleDynamic resource provisioning and secured file sharing using virtualization in cloud azurecs
dc.typearticlecs
dc.identifier.doi10.1186/s13677-022-00326-1
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume11cs
dc.description.issue1cs
dc.description.firstpageart. no. 46cs
dc.identifier.wos000855450300002


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