• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Enhanced resource sharing for scalable video-on-demand services.
【24h】

Enhanced resource sharing for scalable video-on-demand services.

机译：用于可扩展的视频点播服务的增强资源共享。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The interest in scalable video streaming has increased dramatically. Unfortunately, the number of video streams that can be supported concurrently is highly constrained by the required real-time and high-rate transfers, which quickly consume server and network resources, including network bandwidth and disk I/O bandwidth. Resource sharing techniques face this challenge by utilizing the multicast facility. The main classes of these techniques are Batching, stream merging, periodic broadcasting, and composite techniques. Resource sharing techniques face this challenge by utilizing the multicast facility.;The decision as to which class and particular technique to apply greatly impacts the overall system performance and the perceived quality-of-service (QoS). With the many available techniques, it is unclear which one is the best to use in a target environment. In addition, the achieved resource sharing depends significantly on the user access patterns as well as the available server, client, and network resources. Unfortunately, the overwhelming majority of prior studies assumed simple workload, in which videos are accessed sequentially from the beginning to the end (this pattern is referred to here as Full-Content Access) and clients have homogeneous resources (particularly available download bandwidth and buffer space).;This thesis provides a detailed analysis of resource sharing techniques, considering both the True Video-on-Demand (TVOD) and the Near Video-on-Demand (NVOD) models and two video workloads: mixed-video and hot-video. Guided by this extensive analysis, this work proposes an efficient Workload-Aware Hybrid Solution (WAHS) that combines the advantages of stream merging and periodic broadcasting. Moreover, we propose a Statistical Cache Management (SCM) approach, which computes periodically video access frequencies and determines the data to be cached based on these statistics.;In addition to its performance effectiveness, it is easy to implement and incurs small overhead as updates are triggered only when the workload varies considerably. In addition, we study how to support heterogeneous receivers while delivering video streams in a client-pull fashion. We propose three solutions to address the variability of the download bandwidth among clients: Simple Hybrid Solution (SHS), Adaptive Hybrid Solution (AHS), and Enhanced Hybrid Solution (EHS). We also study how to address the variations in client bandwidth during a session. In addition, we study the support for the variability in the available buffer space among clients. Furthermore, we study how the waiting playback requests for different videos can be scheduled for service in the heterogeneous environment, capturing the variations in client bandwidth and buffer space. Moreover, we study the impact of selected-content access on streaming servers delivering data in a client-pull fashion using stream merging techniques. We propose several enhancements to reduce server load and improve the client perceived quality-of-service (QoS).;Finally, we investigate utilizing more advanced video coding, such as Layered Video Coding (LVC) and Multiple Description Coding (MDC), with advance stream merging techniques for better serving heterogeneous receivers.
机译：对可伸缩视频流的兴趣急剧增加。不幸的是，可以同时支持的视频流数量受到所需的实时和高速率传输的严重限制，这些传输会快速消耗服务器和网络资源，包括网络带宽和磁盘I / O带宽。资源共享技术通过利用多播功能来面对这一挑战。这些技术的主要类别是批处理，流合并，定期广播和复合技术。资源共享技术通过利用多播工具来面对这一挑战。有关应用哪种类和特定技术的决定会极大地影响整体系统性能和感知的服务质量（QoS）。有了许多可用的技术，尚不清楚在目标环境中哪种方法最适合使用。此外，所获得的资源共享在很大程度上取决于用户访问模式以及可用的服务器，客户端和网络资源。不幸的是，绝大多数先前的研究假设工作量很简单，即从头到尾顺序访问视频（此模式在这里称为“全内容访问”），并且客户端具有同质资源（尤其是可用的下载带宽和缓冲区空间） ）;;本文提供了对资源共享技术的详细分析，同时考虑了真正的视频点播（TVOD）和近视频点播（NVOD）模型以及两种视频工作负载：混合视频和热视频。在广泛分析的指导下，这项工作提出了一种有效的工作负载感知混合解决方案（WAHS），该解决方案结合了流合并和定期广播的优点。此外，我们提出了一种统计缓存管理（SCM）方法，该方法可定期计算视频访问频率并根据这些统计信息确定要缓存的数据。除了其性能效果外，它易于实施且更新时会产生少量开销仅在工作负载变化很大时才触发。此外，我们研究了如何在以客户端拉动方式交付视频流的同时支持异构接收器。我们提出了三种解决方案来解决客户端之间下载带宽的可变性：简单混合解决方案（SHS），自适应混合解决方案（AHS）和增强型混合解决方案（EHS）。我们还将研究如何解决会话期间客户端带宽的变化。此外，我们研究了对客户端之间可用缓冲区空间可变性的支持。此外，我们研究了如何在异构环境中安排服务不同视频的等待回放请求，以捕获客户端带宽和缓冲区空间的变化。此外，我们研究了选择内容访问对使用流合并技术以客户端拉动方式传输数据的流服务器的影响。我们提出了几项增强功能，以减少服务器负载并改善客户感知的服务质量（QoS）。最后，我们研究利用更高级的视频编码，例如分层视频编码（LVC）和多描述编码（MDC），以及先进的流合并技术，以更好地服务于异构接收器。

著录项

  • 作者

    Qudah, Bashar.;

  • 作者单位

    Wayne State University.;

  • 授予单位 Wayne State University.;
  • 学科 Information Science.;Computer Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 137 p.
  • 总页数 137
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息与知识传播;自动化技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-17 11:38:31

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号