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FLHyO: fuzzy logic based hybrid overlay for P2P live video streaming

机译:FLHyO:用于P2P实时视频流的基于模糊逻辑的混合覆盖

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In recent times, enormous growth has been observed in the field of media streaming and real-time communication using peer-to-peer (P2P) network. The popularity of P2P network for live streaming can be credited to its fundamental characteristics such as a decentralized model, low complexity and scalability. Some of the key factors that affect the performance of P2P live streaming are overlay, scheduling schemes and selfish peer. Many structured and unstructured P2P overlay construction techniques have been introduced till now. But both type of overlays have proven to be inadequate in fulfilling the requirements of today's streaming systems. Generally, the peers in a P2P network are heterogeneous, isolated and mobile in nature. It is difficult to construct an overlay in such a way that resource utilization along with other QoS parameters in the network is maximal. So in this paper, we propose a novel Fuzzy Logic based Hybrid Overlay (FLHyO). FLHyO uses the fuzzy system for determining the priority of each peer during overlay creation. Some of the other factors considered by FLHyO for overlay creation are geographical location, upload bandwidth, age and utilization of a peer. A comparative analysis of FLHyO with some of the landmark overlay approaches verifies that our proposed approach provides better quality of service (QoS) in the network and also improves the video quality at receiver side.
机译:近年来,在使用对等(P2P)网络的媒体流和实时通信领域中,已经看到了巨大的增长。 P2P网络在实时流媒体中的普及可以归因于其基本特征,例如分散模型,低复杂性和可扩展性。影响P2P实时流性能的一些关键因素是覆盖,调度方案和自私对等。到目前为止,已经引入了许多结构化和非结构化的P2P覆盖构建技术。但是事实证明,两种类型的叠加层都无法满足当今流媒体系统的要求。通常,P2P网络中的对等点本质上是异构的,隔离的并且是移动的。很难以网络中的资源利用率以及其他QoS参数最大化的方式构造覆盖图。因此,在本文中,我们提出了一种基于模糊逻辑的新型混合覆盖(FLHyO)。 FLHyO使用模糊系统来确定覆盖创建过程中每个对等方的优先级。 FLHyO考虑的用于创建覆盖图的其他一些其他因素是地理位置,上传带宽,对等方的年龄和利用率。对FLHyO与一些标志性覆盖方法的比较分析证明,我们提出的方法在网络中提供了更好的服务质量(QoS),并且还改善了接收机端的视频质量。

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