Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Emerging large scale Internet applications such as IPTV, VOD and File Sharing base their infrastructure on P2P technology. Yet, the characteristic fluctational throughput of source peers affect the QOS of such applications which might be reflected by a reduced download rate in file sharing or even worse - annoying freezes in a streaming service. A significant factor for the unstable supply of source peers is the behavior of other processes running on the source peer that consume bandwidth resources.  present Collabrium - a collaborative solution that employs a machine learning approach to actively predict load in the uplink of source peers and alert their clients to replace their source.Experiments on home machines demonstrated successful predictions of upcoming loads and Collabrium learned the behavior of popular heavy bandwidth consuming protocols such as eMule a BitTorrent correctly with no prior knowledge.
['Shay Horovitz', 'Danny Dolev']
I am writing a research paper on a idea Collabrium: Active Traffic Pattern Prediction for Boosting P2P Collaboration
[{"from": "human", "value": "I am writing a research paper on a idea Collabrium: Active Traffic Pattern Prediction for Boosting P2P Collaboration"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Emerging large scale Internet applications such as IPTV, VOD and File Sharing base their infrastructure on P2P technology. Yet, the characteristic fluctational throughput of source peers affect the QOS of such applications which might be reflected by a reduced download rate in file sharing or even worse - annoying freezes in a streaming service. A significant factor for the unstable supply of source peers is the behavior of other processes running on the source peer that consume bandwidth resources.  present Collabrium - a collaborative solution that employs a machine learning approach to actively predict load in the uplink of source peers and alert their clients to replace their source.Experiments on home machines demonstrated successful predictions of upcoming loads and Collabrium learned the behavior of popular heavy bandwidth consuming protocols such as eMule a BitTorrent correctly with no prior knowledge."}]