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Distributed client-side error recovery in modern multimedia streaming environments.

机译:现代多媒体流环境中的分布式客户端错误恢复。

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摘要

This paper describes a streaming media architecture in which clients can perform error recovery from one another rather than the server. This scheme reduces (via distribution amongst the clients) communications traffic back to multimedia servers that could lead to degraded service as a result of acknowledgement implosions.; The architecture is designed so that it can be integrated into modern streaming servers and clients, and deliver enhanced performance without modifying end-applications such as media viewers. As a proof of concept, prototype client and server applications have been built and tested. The server handles all initial setup of the streaming engagement as well as the second round error recovery messages that result if clients are unable to get help from other clients. Further, the client application itself accepts the original stream from the server whenever possible and asks other clients that are listening to the stream (referred to as its neighbors) for help with the first round of error recovery traffic. In preliminary experiments, it was observed that this scheme reduces traffic by up to sixty-nine percent in a system with four clients and a ten percent induced loss rate. Overall, as the number of clients increased, the reduction in traffic back up to the server was noted to average around fifty percent.
机译:本文介绍了一种流媒体架构,在这种架构中,客户端可以彼此而不是服务器进行错误恢复。该方案减少了(通过在客户端之间的分配)返回多媒体服务器的通信流量,该通信流量可能由于确认内含而导致服务质量下降。该体系结构的设计使其可以集成到现代流服务器和客户端中,并提供增强的性能,而无需修改最终应用程序(例如媒体查看器)。作为概念验证,已经构建并测试了原型客户端和服务器应用程序。服务器处理流式参与的所有初始设置,以及如果客户端无法从其他客户端获取帮助所产生的第二轮错误恢复消息。此外,客户端应用程序本身会尽可能接受来自服务器的原始流,并向正在侦听该流的其他客户端(称为其邻居)寻求有关第一轮错误恢复流量的帮助。在初步实验中,观察到该方案在具有四个客户端和10%的诱发丢失率的系统中最多可将流量减少69%。总体而言,随着客户端数量的增加,流回服务器的流量平均减少了约50%。

著录项

  • 作者

    Bryant, Richmond Garrett.;

  • 作者单位

    Emory University.;

  • 授予单位 Emory University.;
  • 学科 Computer Science.
  • 学位 M.S.
  • 年度 2003
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-17 11:45:53

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