【摘要】將來網(wǎng)絡(luò)服務(wù)質(zhì)量需要考慮網(wǎng)絡(luò)業(yè)務(wù)流自有的自相似性對網(wǎng)絡(luò)性能的影響，而傳統(tǒng)的網(wǎng)絡(luò)模型未考慮此因素。該文利用分數(shù)布郎運動模型，建立了一個網(wǎng)絡(luò)模型，此模型考慮了業(yè)務(wù)流的自相似，以及聚類的特性，通過控制有效帶寬，提高統(tǒng)計復(fù)用效率，并通過審核控制機制，提供網(wǎng)絡(luò)服務(wù)。實驗證明分數(shù)布郎運動模型能如實描述業(yè)務(wù)流特性，準確預(yù)測業(yè)務(wù)流的性能，能夠最大限度地利用網(wǎng)絡(luò)資源，提高服務(wù)質(zhì)量，彌補原來網(wǎng)絡(luò)排隊模型的缺陷。
關(guān) 鍵 詞 自相似業(yè)務(wù)流; 服務(wù)質(zhì)量; 準許控制; 分數(shù)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.