Virtualized Screen: A Third Element for Cloud–Mobile Convergence

Lu, Yan; Li, Shipeng; Shen, Hang

doi:10.1109/mmul.2011.33

Cited by 147 publications

(52 citation statements)

References 3 publications

(3 reference statements)

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“…Furthermore, many cloud-based systems have been proposed for specific tasks, such as CT reconstruction using PC clusters [63], as well as for particular techniques, such as transferring compressed images and videos [36,39,37]. Our system is designed for general purposes in biomedical image visualization, processing, and analysis; see Fig.…”

Section: Cloud-based Systemsmentioning

confidence: 99%

“…Lu et al [39] proposed a virtual screen system that employs a strategy similar to our cloud-based interactive technique in terms of updating screens. The system detects the difference between the previous and the current screens, and divides the screens as local windows.…”

Section: Updating Screensmentioning

confidence: 99%

“…Updating the partial regions of a screen that a user has changed is a popular strategy in video-streaming and cloud-based systems (e.g., [39]). In our system, the capture server detects a change in the screen according to differences, and then sends the screen to the remote computing server if and only if the screen has changed.…”

Section: Screen Transfer By Detecting Differencesmentioning

confidence: 99%

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Communication Platform for Image Analysis and Sharing in Biology

Murakami

Tawara

Nishimura

et al. 2014

IJNC

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Image analysis is crucial to medical and biological applications. Recent advances in imaging technology have led to the demand for processing and visualizing a large amount of three-dimensional (3D) biomedical images. In addition, cloud computing has become popular for managing big data. Unfortunately, conventional image-processing systems either lack cloud computing services or advanced 3D processing abilities. In this paper, we present a novel cloud-based system for sharing, processing, and visualizing 3D biomedical images. Our system employs a standard web browser as a client interface that interactively communicates with high-performance servers. Thus, an inexpensive tablet PC without an advanced graphics processing unit (GPU) can be used for 3D image processing and visualization. Our system provides the sharing of limited software and hardware resources, and it allows for effective collaboration between researchers. We demonstrate the applicability and functionality of the system by examining typical case studies on biomedical images. We also examine the performance of our system numerically.

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Section: Cloud-based Systemsmentioning

confidence: 99%

Section: Updating Screensmentioning

confidence: 99%

Section: Screen Transfer By Detecting Differencesmentioning

confidence: 99%

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Communication Platform for Image Analysis and Sharing in Biology

Murakami

Tawara

Nishimura

et al. 2014

IJNC

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“…Therefore, we propose to weigh the advantages of offloading an application to a remote server versus local execution of the application. Lu et al propose a solution between these two extremes: offloading parts of the applications and rendering to remote servers and executing the other parts locally, which could also reduce the interaction delay [10].…”

Section: Battery Autonomymentioning

confidence: 99%

Cloud-Based Desktop Services for Thin Clients

Deboosere

Vankeirsbilck

Simoens

et al. 2012

IEEE Internet Comput.

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Abstract-Cloud computing and ubiquitous network availability has brought the thin client concept again under the attention. Executing applications in virtual desktops on servers in the cloud enables accessing any application from any location with any device. To be a successful alternative for traditional offline applications, important challenges have to be overcome. First of all, the performance of the thin client protocol is essential: the audiovisual output has to be displayed fluently. Second, the desktop should be executed on a server with sufficient resources, ideally close to the user's current location to limit the impact of network delay on the interactivity. In addition to delivering excellent user experience, reducing costs is important for service providers. This paper discusses these challenges from both the user's and the service provider's point-of-view and roads to solutions enabling cloud-based desktop services for thin clients.

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“…The challenge of exploiting virtualized screen technologies for ensuring cloud-mobile convergence is taken up in [12] where an image-oriented architecture is advanced. Although the integration of such an architecture into the www browsing use cases is illustrated, no objective evaluation of the related performances (bandwidth and CPU consumption) is reported.…”

Section: Introductionmentioning

confidence: 99%

Semantic multimedia remote display for mobile thin clients

et al. 2013

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Current remote display technologies for mobile thin clients convert practically all types of graphical content into sequences of images rendered by the client. Consequently, important information concerning the content semantics is lost. The present paper goes beyond this bottleneck by developing a semantic multimedia remote display. Index Terms-semantic multimedia remote display, mobile thin client, MPEG-4 multimedia scene (BiFS, LASeR), X Window System, VNC-HEXTILE, RDP.

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Virtualized Screen: A Third Element for Cloud–Mobile Convergence

Cited by 147 publications

References 3 publications

Communication Platform for Image Analysis and Sharing in Biology

Communication Platform for Image Analysis and Sharing in Biology

Cloud-Based Desktop Services for Thin Clients

Semantic multimedia remote display for mobile thin clients

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