Design and Analysis Techniques for Future High-Speed Networks

与传统的数据网络不同，未来的宽带综合业务数字网（BISDN） 广域网将被要求承载广泛的 流量类别包括突发、可变速率源，例如 语音和可变速率编码视频，平滑，恒定比特率 源 此外，这些网络必须这样做， 提供有保证的性能或服务质量（QOS）， 这些交通类。 关于业绩特征的问题， 因此，这种网络特别重要，因为必须这样做 不仅适用于传统的离线尺寸和设计任务 (e.g.,确定链路带宽、缓冲器容量和处理 网络交换点处的容量）而且对于在线， 性能驱动的流量控制目的，如会话级 准入控制 在这份提案中，主要研究人员 概述旨在提供分析工具的研究， 分析此类网络及其各种工作负载的技术 并用于设计和表征调度的属性 在这些网络中。主要研究者建议： 1.开发技术，以上限的各种每届会议 性能指标，如缓冲区溢出的概率和 分组延迟的分布以及在网络环境中这样做 其中会话可以经过几跳， 2.develop 估计缓冲区概率的近似技术 处理不同类别的（潜在地 突发）业务源，以及 3.开发一个基于以下内容的示例路径： 用于表征最优调度策略的方法。

Unlike traditional data networks, future broadband-ISDN (BISDN) wide- area networks will be required to carry a broad range of traffic classes ranging from bursty, variable-rate sources, such as voice and variable- rate coded video, to smooth, constant bit rate sources. Moreover, these networks will have to do so while providing a guaranteed performance or quality-of-service (QOS) to these traffic classes. The problem of characterizing performance in such networks is thus particularly important since this must be done not only for traditional off-line tasks of dimensioning and design (e.g., determining link bandwidths, buffer capacities and processing capacities at network switchpoints) but also for on-line, performance-driven traffic control purposes such as session- level admission control. In this proposal the principal investigators outline research aimed at providing the analytical tools and techniques for analyzing such networks and their diverse workloads and for designing and characterizing the properties of scheduling policies in these networks. The principal investigators propose to: 1.develop techniques to upper bound a variety of per-session performance measures such as probability of buffer overflow and the distribution of packet delay and to do so in a network environment in which sessions may traverse several hops, 2.develop approximation techniques for estimating the probability of buffer overflows in a network handling diverse classes of (potentially bursty) traffic sources, and 3.develop a sample path based on methodology for characterizing optimal scheduling policies.