An Efficient Video Streaming Architecture with QoS Control for Virtual Desktop Infrastructure in Cloud Computing
Huu-Quoc Nguyen, Tien-Dung Nguyen, Van-Nam Pham, Xuan-Qui Pham,, Quang-Thai Ngo, Eui-Nam Huh

TL;DR
This paper proposes a new video streaming architecture for VDI in cloud computing that enhances QoS and QoE through a linear regression-based control system and a novel 2D image compression algorithm, validated by real dataset simulations.
Contribution
It introduces a flexible QoS control architecture with a novel image compression method tailored for real-time cloud-based remote desktop applications.
Findings
Improved QoS and QoE in VDI environments demonstrated through simulations.
Effective real-time image compression using k-means clustering.
Enhanced bandwidth management for high-quality remote desktop streaming.
Abstract
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…
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Taxonomy
TopicsCloud Computing and Remote Desktop Technologies · Cloud Computing and Resource Management · Distributed and Parallel Computing Systems
Methodstravel james · k-Means Clustering · Linear Regression
