  In virtual desktop infrastructure (VDI) environments, the remote display
protocol has a big responsibility to transmit video data from a data
center-hosted desktop to the endpoint. The protocol must ensure a high level of
client perceived end-to-end quality of service (QoS) under heavy work load
conditions. Each remote display protocol works differently depending on the
network and which applications are being delivered. In healthcare applications,
doctors and nurses can use mobile devices directly to monitor patients.
Moreover, the ability to implement tasks requiring high consumption of CPU and
other resources is applicable to a variety of applications including research
and cloud gaming. Such computer games and complex processes will run on
powerful cloud servers and the screen contents will be transmitted to the
client. TO enable such applications, remote display technology requires further
enhancements to meet more stringent requirements on bandwidth and QoS, an to
allow realtime operation. In this paper, we present an architecture including
flexible QoS control to improve the user quality of experience (QoE). The QoS
control is developed based on linear regression modeling using historical
network data. Additionally, the architecture includes a novel compression
algorithm of 2D images, designed to guarantee the best image quality and to
reduce video delay; this algorithm is based on k-means clustering and can
satisfy the requirements of realtime onboard processing. Through simulations
with a real work dataset collected by the MIT Computer Science and Artificial
Lab, we present experimental as well as explain the performance of the QoS
system.
