In this paper, we present a real-time computation algorithm based on the bufferless fluid flow model [Jabbari and Yegenolu, 1992] for call admission control (CAC) on one link of an asynchronous transfer mode (ATM) network with heterogeneous bursty traffic. Cell loss probability is adopted as the measure of quality-of-service (QoS). Our computation algorithm requires a constant memory size and needs only two multiplications and one division to determine whether a connection request can be accepted or not. It is known [Murase et al., 1991], that due to the interference between different types of traffic the individual cell loss probability may not meet the requirement even though the global one does. In this paper, we provide a close upper-bound for individual cell loss probability which can easily be obtained with our computation algorithm. Numerical examples using typical traffic parameters are studied to corroborate the upper-bound. We also compare the performance of the investigated CAC scheme with that of the effective bandwidth technique [Elwalid and Mitra, 1993].
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机译:在本文中,我们提出了一种基于无缓冲流体模型[Jabbari and Yegenolu,1992]的实时计算算法,用于异步传输模式(ATM)网络中具有异构突发流量的一个链路上的呼叫接纳控制(CAC)。信元丢失概率被用作服务质量(QoS)的度量。我们的计算算法需要一个恒定的内存大小,并且只需要两个乘法和一个除法即可确定是否可以接受连接请求。众所周知[Murase et al。,1991],由于不同类型的业务之间的干扰,即使全局的业务丢失概率也可能无法满足要求。在本文中,我们为单个细胞丢失概率提供了一个接近的上限,可以通过我们的计算算法轻松获得。研究了使用典型交通参数的数值示例,以证实上限。我们还比较了所研究的CAC方案和有效带宽技术的性能[Elwalid and Mitra,1993]。
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