Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For the purpose of provisioning bandwidth for Internet access,  need to model the trafic at large time scales, over which the trafJic shows evident periodicity, long correlation and a non-Gaussian marginal distribution. To capture these characteristics simultaneously, in this paper  use a periodicity transform to identify the most sign$cant periods of the trafic and use an autoregressive time series to capture the autocorrelation and apply the G-and-H distribution to model the marginal distribution. A prediction-based bandwidth provisioning scheme is proposed and many experimental results on real Internet traces are also provided. Key words: Internet trafic, periodicity
['Zikuan Liu', 'Jalal Almhana', 'Vartan Choulakian', 'Robert McGorman']
I am writing a research paper on a idea Periodic Data Traffic Modeling and Predicition-Based Bandwith Allocation
[{"from": "human", "value": "I am writing a research paper on a idea Periodic Data Traffic Modeling and Predicition-Based Bandwith Allocation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For the purpose of provisioning bandwidth for Internet access,  need to model the trafic at large time scales, over which the trafJic shows evident periodicity, long correlation and a non-Gaussian marginal distribution. To capture these characteristics simultaneously, in this paper  use a periodicity transform to identify the most sign$cant periods of the trafic and use an autoregressive time series to capture the autocorrelation and apply the G-and-H distribution to model the marginal distribution. A prediction-based bandwidth provisioning scheme is proposed and many experimental results on real Internet traces are also provided. Key words: Internet trafic, periodicity"}]