Traffic Management in IP Networks

IP 网络中的流量管理

基本信息

项目摘要

There is an immense demand for quality of service (QoS) in the Internet. One key element of quality of service is traffic management. Since the network traffic is bursty, it is difficult to make any QoS guarantees without proper control of traffic. Currently, Internet Protocol (IP) has only minimal traffic management capabilities. The packets are dropped when the queue exceeds the buffer capacity. The transmission control protocol (TCP) uses the packet drop as a signal of congestion and reduces its load. While in the past, this strategy has worked satisfactorily, there is need for better strategies for two reasons. First, a large part of the traffic, particularly, voice and video traffic does not use TCP. Continuous media traffic uses User Datagram Protocol (UDP). The proportion of UDP traffic is increasing at a faster pace than TCP traffic. The UDP traffic is congestion insensitive in the sense that UDP sources do not reduce their load in response to congestion. Second, the bandwidth of the networks as well as the distances are increasing. For very high distance-bandwidth product networks, packet drop is not the optimal congestion indication. Several megabytes of data may be lost in the time required to detect and respond to packet losses. Therefore, a better strategy for traffic management in IP networks is required.Recognizing the need for direct feedback of congestion information, the Internet Engineering Task Force (IETF) has come up with an Explicit Congestion Notification (ECN) method for IP routers. A bit in the IP header is set when the routers are congested. ECN is much more powerful than the simple packet drop indication used by existing routers and is suitable for high distance-bandwidth networks. Unfortunately, to realize the full potential of ECN, several questions need to be answered.In this research proposal, the PIs propose a comprehensive program of research on traffic management in IP networks. They propose to develop a new set of traffic management algorithms for IP networks based on Explicit Congestion Notification mechanism. A total of 18 different issues will be analyzed. The PIs have identified potential solutions and approaches for each of these issues. Specifically, they propose to work on a new congestion detection and buffer management scheme for routers, a mechanism for TCP to react to ECN messages from the network. One of the important goals of this research is to make TCP traffic management algorithm free of any bias based on round trip time and number of congested gateways traveled.The proposed research will be based on theoretical analysis and simulations. The PI's approach will be a formal analysis of simple scenarios, heuristic analysis of more complex scenarios and validation using simulations. The emphasis will be to develop simple solutions. However, the performance lost in exchange of simplicity will be theoretically analyzed.Traffic management is the key in providing QoS. Currently, a significant amount of NSF, DARPA, and other research funding as well as energy in networking is being spent on QoS issues. When QoS based solutions (integrated services, differentiated services, or multiprotocol label switching) are deployed, the need for traffic management will become apparent and the PIs expect to see an immediate need for proper methods for traffic management. This proposal is, therefore, timely and important.
互联网对服务质量(QoS)有着巨大的需求。服务质量的一个关键因素是交通管理。由于网络流量是突发的,如果没有适当的流量控制,很难保证QoS。目前,互联网协议(IP)只有最小的流量管理能力。当队列超过缓冲区容量时,数据包将被丢弃。传输控制协议(TCP)使用丢包作为拥塞信号,并减少其负载。虽然在过去,这种策略的效果令人满意,但出于两个原因,我们需要更好的策略。首先,很大一部分流量,特别是语音和视频流量不使用TCP。连续媒体流量使用用户数据报协议(UDP)。UDP流量占比的增长速度快于TCP流量。UDP流量是拥塞不敏感的,即UDP源不会因为拥塞而减少负载。其次,网络的带宽和距离都在增加。对于非常高距离带宽的产品网络,丢包不是最佳的拥塞指示。在检测和响应包丢失所需的时间内,可能会丢失几兆字节的数据。因此,需要一种更好的IP网络流量管理策略。认识到拥塞信息直接反馈的必要性,互联网工程任务组(IETF)提出了IP路由器的显式拥塞通知(ECN)方法。当路由器拥塞时,在IP报头中设置一个位。ECN比现有路由器使用的简单丢包指示功能强大得多,适合于高距离带宽网络。不幸的是,要实现ECN的全部潜力,需要回答几个问题。在本研究计划中,pi提出了一个全面的IP网络流量管理研究计划。他们提出了一套新的基于显式拥塞通知机制的IP网络流量管理算法。总共将分析18个不同的问题。pi已经确定了针对这些问题的潜在解决方案和方法。具体来说,他们建议为路由器开发一种新的拥塞检测和缓冲区管理方案,这是一种TCP对来自网络的ECN消息作出反应的机制。本研究的一个重要目标是使TCP流量管理算法不受往返时间和所经过的拥塞网关数量的影响。本研究将以理论分析和模拟为基础。PI的方法将是对简单场景的正式分析,对更复杂场景的启发式分析,并使用模拟进行验证。重点将是制定简单的解决方案。然而,为了换取简单性而损失的性能将从理论上进行分析。流量管理是提供QoS的关键。目前,大量的NSF、DARPA和其他研究基金以及网络方面的精力都花在了QoS问题上。当部署基于QoS的解决方案(集成服务、差异化服务或多协议标签交换)时,对流量管理的需求将变得明显,而pi期望立即看到对适当的流量管理方法的需求。因此,这项建议是及时和重要的。

项目成果

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Arjan Durresi其他文献

弱教師あり学習による効率的な注目領域の検出と映像分類への応用
使用弱监督学习有效检测感兴趣区域并应用于视频分类
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ping Zhang;Arjan Durresi;Leonard Barolli;竹腰 大輔;松村憲,白浜公章,上原邦昭
  • 通讯作者:
    松村憲,白浜公章,上原邦昭
Performance Evaluation of Wireless Sensor Networks using NS-2 and NS-3 Simulators
使用 NS-2 和 NS-3 模拟器评估无线传感器网络的性能
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tao Yang;Tetsuya Oda;Elis Kulla;Leonard Barolli;Arjan Durresi;Makoto Takizawa
  • 通讯作者:
    Makoto Takizawa
Anonymous communications in the Internet
役を構成するゲームに対する効率的な行動決定アルゴリズムの提案
针对手部游戏提出一种高效的动作决策算法
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tao Yang;Testuya Oda;Elis Kulla;Leonard Barolli;Arjan Durresi;and Makoto Takizawa,;H.Iida;小松智希,成澤和志,篠原歩
  • 通讯作者:
    小松智希,成澤和志,篠原歩
Advances in modelling and evaluation of communication systems
  • DOI:
    10.1007/s11235-008-9095-z
  • 发表时间:
    2008-03-29
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Irfan Awan;Timothy Shih;Arjan Durresi
  • 通讯作者:
    Arjan Durresi

Arjan Durresi的其他文献

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{{ truncateString('Arjan Durresi', 18)}}的其他基金

CICI: Secure Data Architecture: Collaborative Research: Assured Mission Delivery Network Framework for Secure Scientific Collaboration
CICI:安全数据架构:协作研究:确保安全科学协作的任务交付网络框架
  • 批准号:
    1547411
  • 财政年份:
    2016
  • 资助金额:
    $ 30.26万
  • 项目类别:
    Standard Grant
Collaborative Research: Eager: An Application Delivery Platform for Mobile Apps on Global Clouds
合作研究:Eager:全球云上移动应用程序的应用程序交付平台
  • 批准号:
    1249678
  • 财政年份:
    2012
  • 资助金额:
    $ 30.26万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Using Lessons from the Disaster in Japan to Develop Communications for Emergency Situations
RAPID:协作研究:利用日本灾难的经验教训开发紧急情况下的通信
  • 批准号:
    1138659
  • 财政年份:
    2011
  • 资助金额:
    $ 30.26万
  • 项目类别:
    Standard Grant
Collaborative Research:EAGER:Large-Scale Distributed Scientific Experiments on Shared Substrate
合作研究:EAGER:共享基质上的大规模分布式科学实验
  • 批准号:
    1019120
  • 财政年份:
    2010
  • 资助金额:
    $ 30.26万
  • 项目类别:
    Standard Grant
Traffic Management in IP Networks
IP 网络中的流量管理
  • 批准号:
    0413187
  • 财政年份:
    2003
  • 资助金额:
    $ 30.26万
  • 项目类别:
    Continuing Grant

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