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An adaptive algorithm for live streaming using tree-based peer-to-peer networking in mobile environments

机译:在移动环境中使用基于树的对等网络的实时流自适应算法

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Media streaming services are becoming extremely popular for end users with mobile devices. Peer-to-peer networking may be the solution to provide efficient streaming services for a large number of concurrent users without infrastructure. The client-server model costs a lot of money to manage and control and client heterogeneity also reduces the overall performance in mobile environments. Peer-to-peer technology can solve this problem and give satisfaction to end users. The technology gives more efficient and scalable solutions than the client-server model. In order to provide live media streaming using peer-to-peer services in mobile environments, a more resilient and cost-effective algorithm to maintain the tree topology is required. In this paper, we provide an adaptive peer-to-peer algorithm for live media streaming in mobile environments. The algorithm uses a minimum parent switching operation using hop count distance to improve the overall performance of the peer tree. We show how the algorithm works for parent selection and peer ordering to enhance the overall performance in the group.
机译:对于使用移动设备的最终用户,流媒体服务正变得越来越受欢迎。对等网络可能是为大量并发用户提供高效流服务而无需基础架构的解决方案。客户-服务器模型花费大量资金来进行管理和控制,并且客户异构性还降低了移动环境中的整体性能。点对点技术可以解决此问题,并使最终用户满意。与客户端-服务器模型相比,该技术提供了更有效和可扩展的解决方案。为了在移动环境中使用对等服务提供实时媒体流,需要一种更具弹性且更具成本效益的算法来维护树形拓扑。在本文中,我们为移动环境中的实时媒体流提供了一种自适应的点对点算法。该算法使用最小的父交换操作(使用跃点计数距离)来提高对等树的整体性能。我们将展示该算法如何用于父级选择和对等排序,以增强组中的整体性能。

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