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Traditional desktop delivery model is based ona large number of distributed PCs executing operating systemand desktop applications. Managing traditional desktopenvironments is incredibly challenging and costly. Tasks likeinstallations, conguration changes, security measures requiretime-consuming procedures and dedicated deskside support. Alsothese distributed desktops are typically underutilized, resultingin low ROI for these assets. Further, this distributed computingmodel for desktops also creates a security concern as sensitiveinformation could be compromised with stolen laptops or PCs.Desktop virtualization, which moves computation to the datacenter, allows users to access their applications and data usingstateless thin-clientdevices and therefore alleviates some ofthe problems of traditional desktop computing. Enterprises cannow leverage the exibility and cost-benets of running users'desktops on virtual machines hosted at the data center to enhancebusiness agility and reduce business risks, while lowering TCO.Recent research and development of cloud computing paradigmopens new possibilities of mass hosting of desktops and providingthem as a service.However, transformation of legacy systems to desktop cloudsas well as proper capacity provisioning is a challenging problem.Desktop cloud needs to be appropriately designed and provisionedto offer low response time and good working experienceto desktop users while optimizing back-end resource usage andtherefore minimizing provider's costs. This paper presents toolsand approaches we have developed to facilitate fast and accurateplanning for desktop clouds. We present desktop workloadproling and benchmarking tools as well as desktop to cloudtransformation process enabling fast and accurate transition oflegacy systems to new cloud-based model.
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