...
首页> 外文期刊>Multimedia Tools and Applications >Score-based Incentive Mechanism (SIM) for live multimedia streaming in peer-to-peer network
【24h】

Score-based Incentive Mechanism (SIM) for live multimedia streaming in peer-to-peer network

机译:基于刻度的激励机制(SIM)用于点对点网络中的实时多媒体流

获取原文
获取原文并翻译 | 示例

摘要

A decentralized model is primarily used for communication and file transfer, the peer-to-peer network is based on this model. The field of real-time communication and media streaming has witnessed enormous growth in recent times owing to their use of peer-to-peer network. A significant part of Internet traffic is being created by the peer-to-peer network resulting in an increase in its demand. The rise in prominence of peer-to-peer network can be attributed to its properties like resource utilization and distributed nature. Resource utilization of peer-to-peer network is one foremost motive for selecting this network over the traditional client-server architecture. The availability of selfish peer or free riders affects the total resource utilization and degrades the performance of the network. So, there is a requirement of an incentive-based mechanism to motivate the selfish peer or free riders in the network to improve the performance of the network. In this paper, we will discuss a new score based incentive mechanism to improve the overall resource utilization. This approach is based on a reward-punishment based method, so the peers are encouraged or motivated to share more resources and chastise selfish peers. For calculating the score value of a peer, parameters like upload capacity, video quality, control packets, a time period for which peers stay in the network can be used. Different score values are assigned for different parameters. The simulation results presented in this paper verify the approach and illustrate that the quality of video and performance of network improves using our new score based incentive mechanism. The parameters used for calculating the performances are; end-to-end delay, playback delay, start-up delay, and frame redundancy etc.
机译:分散模型主要用于通信和文件传输,对等网络基于此模型。由于它们使用对等网络,近一次实时通信和媒体流媒体领域已经见证了巨大的增长。对等网络正在创建互联网流量的重要组成部分,从而提高其需求。点对点网络突出的突出突出可归因于资源利用率和分布性质等属性。对等网络的资源利用是用于通过传统的客户端 - 服务器架构选择该网络的最重要动机。自私同行或自由骑手的可用性会影响总资源利用率,并降低网络性能。因此,需要一种基于激励的机制来激励网络中的自私同行或自由骑手,以提高网络的性能。在本文中,我们将讨论基于新的争夺机制,以提高整体资源利用率。这种方法是基于基于奖惩的方法,因此对同行鼓励或激励分享更多资源和惩罚自私同行。为了计算对等体的分数值,可以使用等于上载容量,视频质量,控制数据包的参数,可以使用对等体保持在网络中的时间段。为不同的参数分配不同的分数值。本文提出的仿真结果验证了这种方法,并说明了网络的视频和性能的质量使用我们的新分数的激励机制来提高。用于计算性能的参数是;端到端延迟,播放延迟,启动延迟和帧冗余等。

著录项

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