Adaptive Desktop Delivery Scheme for Provisioning Quality of Experience in Cloud Desktop as a Service

Abstract

Desktop as a service (DaaS) enables people to connect their virtual remote desktops with their ondesk computers, laptops, and othermobile devices. To best serve the users, it is essential for the service providers to know the perceived quality of their system by the customers and users while preserving their business objectives. This paper deals with QoE aware desktop delivery solution for DaaS. Based on our previous works, first we derive one to one exponential relationship models between quality of service (QoS) and different objective qualities in desktop delivery, where screen sizes in pixels unit are taken as the QoS. Then, individual models are combined into an integrated quality of experience (QoE) model, that can quantify total QoE on given QoS values. With the derived QoE model, we propose an adaptive desktop delivery scheme for DaaS. For a given desktop size, the scheme first measures the QoE scores for its twomodules and automatically assigns the most appropriatemodules to different desktop regions. If the server lacks resources to accomplish the user requirements with good QoE then the scheme suggests the users to reduce their requirements. Simulation results on some selected scenarios explain the uses and effectiveness of the proposed scheme.