视频业务流量模型是网络性能仿真的一个重要前置环节，但由于视频内容的千差万别，使得很难建立统一的视频业务流量模型。
Modeling video traffic is an important prerequisite for any network performance simulating, but it is very difficult to build an uniform model for video traffic since video contents are variable.
效用计算是指按数据流量或应用程序的使用支付费用的一种业务模型。
Utility computing refers to the business model of paying for data traffic or application usage.
针对通用无线分组业务(GPRS)小区流量预测问题，对几种典型时序预测模型的性能进行了综合分析。
The performances of some classic time series prediction models were analyzed together concerning the traffic prediction of General Packets Radio Service (GPRS) cells.
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