This is the scenario of Remote Desktop (RD) systems, where a host streams a computer desktop environment to the user’s machine, where the user then browses this desktop as if it were local. Traditional desktop computers executing local productivity applications are evolving into light local computers used as remote displays for centralized machines. Applications such as web browsing result in unexpectedly high traffic rates and long bursts, more than the case of desktop video playing, because the on-page animations are rendered on the server. The results confirm that the type of application running on the remote servers and the mix of users must be considered to determine the bandwidth requirements. We also evaluate the quality of experience perceived by the user, in terms of image quality and interactivity, providing values of Mean Opinion Score (MOS). We evaluate the necessary network resources using a traffic model based on self-similar processes. In this paper, we review the main offerings of remote desktop protocols for a cloud deployment. Desktop-as-a-Service solutions such as Amazon WorkSpaces offer a similar functionality, yet in a public cloud environment. Citrix and VMware have been major suppliers of these systems in private clouds. Instead of assigning a physical machine with its operating system and software to each user, it is considerably easier to manage a light client machine that connects to a server where the instance of the user’s desktop machine actually executes. The use of remote desktop services on virtualized machines is a general trend to reduce the cost of desktop seats.
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