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

Layek, Md. Abu; Chung, T. J.; Huh, Eui‐Nam

doi:10.1093/comjnl/bxv116

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…Packet traces are collected in an ideal environment as a baseline and then compared against packet traces collected under different network conditions and server loads. Slow-motion techniques have been used by other researchers as well [13], [15], [17], [21], [32].…”

Section: Related Workmentioning

confidence: 99%

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Methods for Objective and Subjective Evaluation of Zero-Client Computing

et al. 2019

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Zero clients are hardware-based devices without a central processing unit (CPU) that deliver virtual desktops (VDs) from remote computing systems to users. We measured the performance of applications accessed through zero clients to study the feasibility of using this approach to provide a desktop-pc experience across a network. Performance evaluation is complicated because monitoring software cannot be downloaded to the zero clients. Therefore, we introduce a new methodology and metric to measure zero-client VD performance that is based on network-traffic analysis. We conducted objective and subjective studies to determine the sensitivity of application-specific metrics to different network conditions. The results show that the packet loss rate (PLR) impacts zero-client performance for some applications such as video streaming. Subjective tests showed a greater user sensitivity to the PLR for video streaming than for image viewing or Skype. A strong correlation was found between the objective and subjective measurements but the rate at which these measurements changed with increasing PLR differed depending on the application. INDEX TERMS Edge-cloud, measurements, objective study, QoE, remote desktops, subjective study, VDI, VDI metrics, virtual desktops, zero clients. I. INTRODUCTION Virtual-Desktop (VD) technologies have been growing in popularity as several remote desktop tools, such as VNC, Microsoft Remote Desktop Services (RDS), and TeamViewer, have been developed to support this paradigm. Remote desktop clients have been implemented in custom Application Specific Integrated Circuits (ASICs) or Field Programmable Gate Arrays (FPGAs). For example, Teradici Tera2321, is used in equipment called zero clients, which include interfaces such as USB, DVI, and HDMI ports to connect keyboard, video, mouse (KVM) terminals, and an Ethernet port for network connectivity. Zero-client hardware has primarily been developed for enterprises, with each user being supported by one Virtual Machine (VM) in an edge-or commercial-cloud host. Thus, zero clients are used in schools, hospitals, libraries, and businesses [1]-[4]. Zero clients have also been used for highperformance graphics applications to allow multiple users to share the more expensive processing engines [5]. Graphics applications frequently exploit co-location of zero clients The associate editor coordinating the review of this manuscript and approving it for publication was Haibo Wu.

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Section: Related Workmentioning

confidence: 99%

“…Monitoring at the server does not consider the involvement of the network to transmit the display to the end-user devices. There has been some work on measuring VD performance by analyzing network traffic [13], [15], [17]; however, network traffic was analyzed only to measure video quality.…”

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confidence: 99%

Methods for Objective and Subjective Evaluation of Zero-Client Computing

et al. 2019

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“…An adaptive desktop delivery scheme for DaaS was proposed in [17] which is an improvement on the HRDP by selecting encoding adaptively. The paper recommended a Quality of Experience (QoE) model that can quantify the QoE scores for different encodings (MJPEG and VNC) and find out the most suitable scheme for a block.…”

Section: Qhrdpmentioning

confidence: 99%

“…The motion detection approach in this section is based on the procedure discussed in [17]. Here, only the essential parts are used which is sufficient to explain the algorithms.…”

Section: Motion Detectionmentioning

confidence: 99%

“…Similarly, virtual desktop delivery protocol [13] and even a camera application [14] also require splitting. In addition, some researches on provisioning Quality of Experience (QoE) in remote desktop delivery using VNC-RFB protocol as well assume splitting in a fixed block size [15] [16] [17]. The advantage of making the blocks equal size is obvious; it is possible to apply same processing, scaling and coefficient constants on every block.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Screen Splitting Methods - A Case Study in Block-wise Motion Detection

Layek¹,

Chung²,

Huh³

2016

KSII TIIS

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Screen splitting is one of the fundamental tasks in different methods including video and image compression, screen classification, screen content coding and the like. These methods in turn support various applications in data communications, remote screen sharing, remote desktop delivery to assist teaching-learning, telemedicine, Desktop as a Service etc. In the literature we find systems requiring splitting assumes a fixed size split that do not change dynamically, also there is no analysis why that split is chosen in terms of performance. By doing mathematical analysis this paper first finds the efficient splitting schemes that can be easily automated to make a system adaptive. Thereafter, taking the screen motion detection as a case study, it demonstrates the effects of various splitting methods on motion detection performance. The simulation results clearly shows how classification performances varies with different splitting which will facilitate to choose the best splitting for a specific application scenario as well as making the system adaptive by providing dynamic splitting.

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