Content Distribution in Heterogenous Video-on-Demand P2P Networks with ARIMA Forecasts

摘要: Peer to peer applications have gained high popularity in the past years. In particular, P2P media streaming architectures attracted much attention, so that audio and video sharing is causing a large fraction of Internet traffic today. In this paper we introduce new architecture focuses on distributed demand file based point-to-point delivery between peers. The includes dynamic data distribution replication schemes are able guarantee fair load balancing among This enables avoid hot spots inside network ensure nearly optimal throughput. A main component an ARIMA forecasting module, predict access probability individual files. module has impact location documents concerning characteristic peers addition used control number replicas each file. present some simulation results indicating not only feasibility architectural approach but also benefits resulting from content distribution.