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Cloud computing that possesses highly accessible and elastic computing resources perfectly matches the demands of video services, which employ massive storage and intensive computational power to store, transmit, compress, enhance, and analyze the videos, uploaded from commodity devices and surveillance cameras. However, most existing video processing programs are neither designed to run on parallel...
Due to the rapid improvement in resolution and codec, the number of video sensing device grows fast in the recent years. Tremendous data need to be stored and processed. To meet such a need, we developed a video hosting and processing platform for near-real time applications. An intelligent device can obtain connection-less upload function from our client-side SDK. Video data are sliced into pieces,...
Driven by consumer demand, mobile devices such as smartphones and tablets are offering more desktop-like capabilities. High-performance CPUs and GPUs, which handle compute-intensive tasks, are key to enhancing the user experience in applications such as 3D gaming, high-definition video and internet browsing. A CPU and GPU on a tablet device, however, can together consume up to 90% of the total SoC...
We propose an extension of WFQ, called BWFQ, to reduce the computation time and guarantee the QoS performances as well. Simplifications of the WFQ algorithm may degrade the performance of all sessions. Instead, BWFQ dynamically aggregates packets in advance and performs scheduling in unit of block. Block size is controlled by a parameter called granule. Each session has a granule setting in accordance...
Mobile devices today such as netbooks, tablet PCs and smart phones provide user-friendly interfaces for people to capture live video. However as a viewer, they prefer not to share downloaded clips due to the limited computing power, upload bandwidth and mostly due to the high power consumption while scheduling segments. In this paper, we discuss the possibility of allowing mobile clients run as free...
For modern designs, delay optimization significantly facilitates success in design closure owing to its more realistic metric than wirelength in routing. Obstacle-avoiding rectilinear Steiner tree (OARST) construction is an essential routing problem. With the trends toward Internet protocol-block-based system-on-chip designs, OARST with buffer insertion has been surveyed to diminish the delay of long...
In this paper, we propose a method to reduce the routing overhead in DSDV (Destination-Sequenced Distance-Vector) networks. The proposed method benefits from the nature of DSDV, such as loop-free and shortest routing path, but alleviates the problem of control message flooding when the network topology changes. Given a destination node in a DSDV network, there exists a spanning tree using the destination...
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