ITR: Collaborative Research:Scalable Quality-of-Service Control for the Next Generation Internet: Fundamental Challenges and Effective Solutions

今天的互联网的巨大成功要归功于25年前设计的简单的“沙漏”IP网络协议架构。近年来，随着网络技术的快速发展和丰富多媒体内容的爆炸性增长，网络社区发现自己处于一个重要的十字路口：下一代互联网架构应该是什么，以控制网络资源并提供新兴多媒体应用所需的服务质量（QoS） ？提供QoS保证的可能方法有多种。下一代互联网的QoS解决方案的选择将对互联网本身的发展及其功能产生重大影响。做出“正确”的选择需要对QoS控制的可伸缩性以及这些控制对QoS供应效率的影响有一个基本的理解。所提议的研究的目标是对提供可扩展QoS保证的各种方法所涉及的基本权衡进行全面、定量的理解。为此，研究人员将开发连贯的理论来系统地解决QoS控制中的可扩展性问题。研究计划大致分为四个领域：保证流的聚合网络演算；获得对精细时间尺度(例如；在提供QoS性能保证时，研究人员将开发一个聚合网络演算来研究聚合QoS控制机制对数据平面操作的性能和复杂性的影响。该理论是为保证流开发的，保证流要求网络在其生命周期内提交一定数量的资源（例如，带宽和缓冲区），无论网络拥塞状态如何。聚合网络演算将提供一个数学框架来量化聚合QoS控制对QoS提供中的基本权衡的影响。它还将对可伸缩数据平面QoS控制机制的设计产生见解。响应流的端到端QoS控制：研究人员将开发流体模型来研究聚合QoS控制机制对响应流端到端性能的影响。响应流通过调整其传输速率来响应网络拥塞的迹象，例如丢失。这些模型将使我们能够更好地理解响应流的行为，如asTCP与不同的聚合QoS机制相结合，并为响应流设计端到端QoS服务。QoS控制规律和控制平面聚合规则。研究人员将开发QoS控制定律，用于捕获慢时间尺度、网络的系统范围行为和聚合规则，以解决聚合QoS控制下控制平面操作的性能和复杂性。这些QoS控制律和聚合规则将引导我们为可扩展的控制平面操作设计分布式和集中式算法。可扩展的QoS机制和服务架构作为发展这些理论的组成部分，研究人员还将设计有效和可扩展的QoS机制，以及量化和评估各种QoS解决方案权衡的工具和技术。基于这些努力的结果，研究人员将研究如何将各种QoS解决方案组合起来，以构建有意义的端到端服务。该研究将融合正式建模/分析、实验/实现和评估。作为研究结果获得的理解和见解将导致为未来互联网构建可扩展QoS控制的理论、设计原则和指导方针的建立。随着下一代互联网的形成，这将使人们能够做出理性和明智的选择。

Today's Internet owes its great success to the simple, "hour-glass" IP network protocol architecture laidout twenty-five years ago. With rapid advances in networking technologies and explosive growth of richmultimedia content in recent years, the networking community finds itself at an important crossroads: whatshould be the next generation Internet architecture for controlling network resources and provide the qualityof service (QoS) needed by emerging multimedia applications? There is a multidimensional spectrum ofpossible approaches to providing QoS guarantees. The choice of a QoS solution for the next generationInternet will have a substantial impact on both the evolution of the Internet itself, and on what it enables.Making the "right" choices requires the development of a fundamental understanding of the scalability ofQoS controls and the impact of these controls on the efficacy of QoS provisioning.The goal of the proposed research is to develop a comprehensive, quantitative understanding of thefundamental trade-offs involved in various approaches toward providing scalable QoS guarantees. To thisend, the researchers will develop coherent theories to systematically address the issue of scalability in QoS controls. The research program divides broadly into four areas:Aggregate network calculus for guaranteed flows: To gain a thorough understanding of the fine time-scale(e.g., packet-level) behavior of a network system in providing QoS performance guarantees, the researcherswill develop an aggregate network calculus to study the impact of aggregate QoS control mechanismson the performance and complexity of data plane operations. This theory is developed for guaranteedflows - flows which require the network to commit, either at a per-flow or an aggregate level, acertain amount of resources (e.g., bandwidth and buffer) throughout their life time, regardless of thenetwork congestion status. The aggregate network calculus will provide a mathematical frameworkto quantify the impact of aggregate QoS controls on the fundamental trade-offs in QoS provisioning.It will also yield insights into the design of scalable data plane QoS control mechanisms.End-to-end QoS controls for responsive flows: The researchers will develop fluid models to study the impact of aggregate QoS control mechanisms on the end-to-end performance of responsive flows. A responsiveflow responds to signs of network congestion, such as loss, by adapting its transmission rate. Thesemodels will enable us to develop a better understanding of the behavior of responsive flows such asTCP coupled with different aggregate QoS mechanisms and to design end-to-end QoS services forresponsive flows.QoS control laws and control plane aggregation rules. The researchers will develop QoS control laws for capturing the slow time-scale, system-wide behavior of a network and aggregation rules that address the performance and complexity of control plane operations under aggregate QoS controls. These QoS controllaws and aggregation rules will lead us to the design of distributed and centralized algorithms forscalable control plane operations.Scalable QoS mechanisms and service architectures as an integral part in developing these theories, the researchers will also design effective and scalable QoS mechanisms, and tools and techniques for quantifying and evaluating the trade-offs of various QoS solutions. Based on the results from these efforts, the researchers will study how various QoS solutions can be combined to construct meaningful end-to-end services.The research will blend formal modeling/analysis, experimentation/implementation, and evaluation. Theunderstanding and insights gained as a result of the research will lead to the establishment of the theory,design principles, and guidelines for building scalable QoS controls for the future Internet. This, in turn,will allow reasoned and informed choices to be made as the next generation Internet takes shape.