High-performance networks: traffic, protocols, and control algorithms

高性能网络：流量、协议和控制算法

• 批准号: 216844-2007
• 负责人: Trajkovic, Ljiljana
• 金额: $ 1.68万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=363478
• 关键词: performance; networks; traffic; protocols; control

My research proposal deals with analysis and simulation of traffic, protocols, and control algorithms in high-performance packet networks.Packet data networks, such as the Internet, are the infrastructure for delivering voice, data, and video applications. Their performance depends on a complex interaction of network traffic, protocols, and scheduling mechanisms employed in network elements (routers). Evaluating this performance is a difficult task that is of importance both to service providers and network users. The objective of my research is to first characterize, model, and analyze traffic that is collected and measured from deployed packet networks. Of particular interest is application of statistical, data mining, and clustering approaches in the search for traffic invariants as well as the understanding of underlying dynamical behavior of the complex system representing a packet network carrying such traffic.The proposed research program covers three subareas: analysis and characterization of traffic data collected from deployed networks, simulation and improvement of network protocols and algorithms and evaluation of network performance, and application of control theory towards the analysis of complex dynamic network behavior. Collected traffic data will enable us to examine various aspects of traffic data collection, user behavior, and network operation and to evaluate performance of deployed routing protocols. Simulation tools and models will be developed to evaluate and improve performance of various wired and wireless network protocols and algorithms. Developed mathematical models of network protocols and mechanisms will be used to better understand complex behavior, such as chaotic and bifurcation phenomena, that has been observed in models of TCP/IP networks.

我的研究计划涉及高性能分组网络中的流量、协议和控制算法的分析和仿真。分组数据网络，如Internet，是提供语音、数据和视频应用的基础设施。它们的性能取决于网络流量、协议和网络元件（路由器）中采用的调度机制的复杂交互。评估这种性能是一项困难的任务，这对服务提供商和网络用户都很重要。我的研究目标是首先描述，建模和分析从部署的分组网络收集和测量的流量。特别感兴趣的是应用统计，数据挖掘和聚类方法在搜索流量不变量，以及理解的复杂系统的基本动力学行为，代表了一个包网络承载这样的流量。拟议的研究计划包括三个子领域：分析和表征从部署的网络收集的业务数据，网络协议和算法的仿真和改进以及网络性能的评估，以及控制理论在复杂动态网络行为分析中的应用。收集的流量数据将使我们能够检查流量数据收集，用户行为和网络运行的各个方面，并评估部署的路由协议的性能。将开发仿真工具和模型，以评估和提高各种有线和无线网络协议和算法的性能。开发的网络协议和机制的数学模型将用于更好地理解复杂的行为，如混沌和分叉现象，已在TCP/IP网络模型中观察到。