【摘要】將來網絡服務質量需要考慮網絡業務流自有的自相似性對網絡性能的影響，而傳統的網絡模型未考慮此因素。該文利用分數布郎運動模型，建立了一個網絡模型，此模型考慮了業務流的自相似，以及聚類的特性，通過控制有效帶寬，提高統計復用效率，并通過審核控制機制，提供網絡服務。實驗證明分數布郎運動模型能如實描述業務流特性，準確預測業務流的性能，能夠最大限度地利用網絡資源，提高服務質量，彌補原來網絡排隊模型的缺陷。
關 鍵 詞 自相似業務流; 服務質量; 準許控制; 分數布朗運動

Network quality of service in future needs to consider the impact of inherent self-similar. Traditional networks ignore this. The paper utilizes Fractional Brownian Motion model to build a network model, which improves statistical multiplexing efficiency by controlling effective bandwidth and provides services by admission control. Experiment verifies that FBM model can realistically describe packet traffic flows，predict their performance, make full use of network recourses, and make up the deficiency of conventional queue models.