本論文提出一個應用於差異性服務之適應性公平頻寬配置方法(AFABA)，此頻寬配置方法基於網路中封包的特性要求並考量網路流量及排程現況，動態分配資源。
在此配置方法中第一個特色是對於差異性服務具有彈性的架構；針對服務特徵多樣化的類型，我們提出以效能指標為特色的差異性規劃，依據此具有特性的效能指標發展出效能分佈的函式為頻寬配置參考，結合方針轉換(Policy Translator)和網路流量的量測架構出適應性公平頻寬配置方法的服務模型。此服務模型適應性協同其他的服務類型決定一個權重值以提供權重公平佇列排程(WFQ)分配頻寬。因此，我們得到一個精確而且具適應性的頻寬分配法則。
公平性是此配置方法中的第二個特色；AFABA的基本原則在於最大化網路資源的使用效益並使之具公平性的規則，根據實際網路流量及效能衡量(Utility Func-tions)的滿意程度，最大化頻寬分配並反應出成比例式的公平原則且平衡分配目前存在的所有服務類型。
此配置方法也具有延展性的優點；對任何新增的服務類型，我們將能很容易的建構它的服務模式整合於目前已存在的服務模型中參與頻寬的分配。
為了證實適應性公平頻寬配置方法優勢，我們做了數個模擬，觀察分析在不同的流量狀況下及效益參數的影響，分配的效能及速度上的收斂情形，這些模擬表示出我們提出想法的正向結果。

This thesis presents a framework of Adaptive FAir Bandwidth Allocation (AFABA) for differentiated services. In AFABA, the bandwidth allocation is based on the packet characteristics, traffic conditions, and scheduler’s policies to dynamically adjust.
The first feature of AFABA is in its flexible architecture for differentiated services. Based on the characteristics of various kinds of services, we present differentiated for-mulation in featured performance indices for them, and then develop their distribution function of utility based on the featured indices to be the references of bandwidth alloca-tion in AFABA, and they combine with policy translator and traffic state meter to com-pose the AFABA’s service model. The service model determines the weight coefficients adaptively and invokes Weighted Fair Queue (WFQ) to work. Therefore, we get a precise and adaptive bandwidth allocation scheme.
Fairness is the second feature of AFABA. The basic principle of AFABA is to maximize the utilization of network resources regulated by the rule of fairness. According to the satisfaction degree between practical network traffic status and performance re-quirements (utility function), AFABA applies proportional fairness strategy to maximize bandwidth utilization and balance the allocation among all of the existing service classes.
AFABA also has the advantage of scalability. For any new-created service class, we can easily construct its service mode and integrate it into the existing service model to take part in the allocation of bandwidth.
To confirm the superiority of AFABA, we have made several simulations to ob-serve and analyze the performance and convergence rate in different traffic conditions and parameter values of utility. The simulations exhibit positive results for the proposed idea.

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