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A Design Framework for Multi-Resolution Video Servers

机译:多分辨率视频服务器的设计框架

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Video can be encoded into multiple-resolution format in nature. A multi-resolution or scalable video stream is a video sequence encoded such that subsets of the full resolution video bit stream can be decoded to recreate lower resolution video streams. Employing scalable video enables a video server to provide multiple resolution services for a variety of clients with different decoding capabilities and network bandwidths connected to the server. The inherent advantages of the multi-resolution video server include: heterogeneous client support, storage efficiency, adaptable service, and interactive operations support. For designing a video server, several issues should be dealt with under a unified framework including data placement/retrieval, buffer management, and admission control schemes for deterministic service guarantee. In this paper, we present a general framework for designing a large-scale multi-resolution video server. First, we propose a general multi-resolution video stream model which can be implemented by various scalable compression techniques. Second, given the proposed stream model, we devise a hybrid data placement scheme to store scalable video data across disks in the server. The scheme exploits both concurrency and parallelism offered by striping data across the disks and achieves the disk load balancing during any resolution video service. Next, the retrieval of multi-resolution video is described. The deterministic access property of the placement scheme permits the retrieval scheduling to be performed on each disk independently and to support interactive operations (e.g. pause, resume, slow playback, fastforward and rewind) simply by reconstructing the input parameters to the scheduler. We also present an efficient admission control algorithm which precisely estimates the actual disk workload for thegiven resolution services and hence permits the buffer requirement to be much smaller. The proposed schemes are verified through detailed simulation and implementation.
机译:本质上,视频可以编码为多分辨率格式。多分辨率或可伸缩视频流是经过编码的视频序列,可以对全分辨率视频比特流的子集进行解码以重建较低分辨率的视频流。利用可伸缩视频,视频服务器可以为具有不同解码功能和连接到服务器的网络带宽的各种客户端提供多种分辨率服务。多分辨率视频服务器的固有优势包括:异构客户端支持,存储效率,可调整的服务以及交互式操作支持。对于设计视频服务器,应在统一框架下处理几个问题,包括数据放置/检索,缓冲区管理和用于确定性服务保证的准入控制方案。在本文中,我们提出了设计大型多分辨率视频服务器的通用框架。首先,我们提出了一种通用的多分辨率视频流模型,该模型可以通过各种可伸缩压缩技术来实现。其次,在提出了流模型的情况下,我们设计了一种混合数据放置方案,以跨服务器中的磁盘存储可伸缩视频数据。该方案利用了跨磁盘条带化数据所提供的并发性和并行性,并在任何分辨率的视频服务期间实现了磁盘负载平衡。接下来,描述多分辨率视频的检索。放置方案的确定性访问属性允许简单地通过将调度程序的输入参数重构来在每个磁盘上独立执行检索调度,并支持交互操作(例如暂停,恢复,慢速播放,快进和快退)。我们还提出了一种有效的准入控制算法,该算法可精确估计给定分辨率服务的实际磁盘工作量,从而使缓冲区需求小得多。通过详细的仿真和实现对提出的方案进行了验证。

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