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Sensors (Basel, Switzerland)·2018

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Remote access protocols for Desktop-as-a-Service solutions.

Eduardo Magaña¹, Iris Sesma¹, Daniel Morató²

¹Public University of Navarre, Department of Electrical, Electronic and Communications Engineering, Pamplona, Spain.

|January 5, 2019

Summary

This summary is machine-generated.

Virtualized desktops reduce costs by using remote desktop services. Application type and user mix are key for determining bandwidth needs, with web browsing causing higher traffic than video playback.

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Area of Science:

Computer Science
Cloud Computing
Network Engineering

Background:

Virtualized desktops offer cost savings over physical machines by centralizing resources on servers.
Remote desktop services are essential for accessing virtualized desktops in private and public clouds.
Solutions like Citrix, VMware, and Amazon WorkSpaces facilitate cloud-based desktop access.

Purpose of the Study:

To review remote desktop protocols for cloud deployments.
To evaluate network resource requirements for virtualized desktops.
To assess user-perceived quality of experience (QoE) including image quality and interactivity.

Main Methods:

Utilized a traffic model based on self-similar processes to evaluate network resource needs.
Assessed user experience through Mean Opinion Score (MOS) for image quality and interactivity.
Analyzed traffic patterns generated by different applications, including web browsing and video playback.

Main Results:

Web browsing generates higher traffic rates and longer bursts than desktop video playback due to server-side rendering of animations.
Application type and user mix significantly impact bandwidth requirements for remote desktop services.
Self-similar traffic modeling provides insights into network resource demands.

Conclusions:

Effective bandwidth allocation for remote desktops necessitates considering the specific applications used and the diversity of user activities.
Understanding application-specific traffic patterns is crucial for optimizing cloud-based virtual desktop infrastructure.
User experience is directly linked to network performance, highlighting the importance of accurate resource estimation.